{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Author:__ Bram Van de Sande\n",
    "\n",
    "__Date:__ 5 MAR 2018\n",
    "\n",
    "__Outline:__ Compare the results of the different implementation of the SCENIC pipeline. The example used in the tutorial is used in this comparison (https://github.com/aertslab/SCENIC)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from pyscenic.rnkdb import FeatherRankingDatabase as RankingDatabase\n",
    "import matplotlib.pyplot as plt\n",
    "from pyscenic.utils import save_to_yaml\n",
    "from collections import defaultdict\n",
    "from pyscenic.genesig import Regulome\n",
    "from operator import concat\n",
    "from functools import reduce\n",
    "from pyscenic.prune import prune_targets\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATABASE_FOLDER = \"/Users/bramvandesande/Projects/lcb/databases/\"\n",
    "DATABASE_FNAME_500bp = os.path.join(DATABASE_FOLDER, \"mm9-500bp-upstream-7species.mc8nr.feather\")\n",
    "DATABASE_FNAME_10kbp = os.path.join(DATABASE_FOLDER, \"mm9-tss-centered-10kb-7species.mc8nr.feather\")\n",
    "\n",
    "RESOURCES_FOLDER=\"/Users/bramvandesande/Projects/lcb/resources\"\n",
    "MOTIF_ANNOTATIONS_FNAME = os.path.join(RESOURCES_FOLDER, \"motifs-v8-nr.mgi-m0.001-o0.0.tbl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "## Phase Ib: Derive potential regulomes from the co-expression modules\n",
    "\n",
    "#### Check implementation of `modules_from_genie3`\n",
    "\n",
    "Start from the GENIE3 output and check if derived co-expression modules are similar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "adjacencies = pd.read_csv('/Users/bramvandesande/Projects/lcb/resources/rscenic/1.5_GENIE3_linkList.txt',\n",
    "                          usecols=['TF', 'Target', 'weight'])\n",
    "adjacencies.columns = [\"TF\", \"target\", \"importance\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creation of the modules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_modules = adjacencies[adjacencies['importance'] > 0.001]\n",
    "df_modules['method'] = 'w001'\n",
    "\n",
    "df_tmp = adjacencies[adjacencies['importance'] > 0.005].copy()\n",
    "df_tmp['method'] = 'w005'\n",
    "df_modules = df_modules.append(df_tmp)\n",
    "\n",
    "df_tmp = adjacencies.groupby(by='TF').apply(lambda grp: grp.nlargest(50, \"importance\")).copy()\n",
    "df_tmp['method'] = 'top50'\n",
    "df_modules = df_modules.append(df_tmp)\n",
    "\n",
    "df_tmp = adjacencies.groupby(by='target').apply(lambda grp: grp.nlargest(5, \"importance\")).copy()\n",
    "df_tmp['method'] = 'top5perTarget'\n",
    "df_modules = df_modules.append(df_tmp)\n",
    "\n",
    "df_tmp = adjacencies.groupby(by='target').apply(lambda grp: grp.nlargest(10, \"importance\")).copy()\n",
    "df_tmp['method'] = 'top10perTarget'\n",
    "df_modules = df_modules.append(df_tmp)\n",
    "\n",
    "df_tmp = adjacencies.groupby(by='target').apply(lambda grp: grp.nlargest(50, \"importance\")).copy()\n",
    "df_tmp['method'] = 'top50perTarget'\n",
    "df_modules = df_modules.append(df_tmp)\n",
    "df_modules.index = range(len(df_modules))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4363616"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_modules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "w001              3261351\n",
       "top50perTarget     604300\n",
       "w005               266475\n",
       "top10perTarget     120860\n",
       "top5perTarget       60430\n",
       "top50               50200\n",
       "Name: method, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_modules.method.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11793cda0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11793ce80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_modules.method.value_counts().plot.barh()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the results with the modules derived by the R pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "load('/Users/bramvandesande/Projects/lcb/resources/rscenic/1.6_tfModules.RData')\n",
    "write.csv(tfModules, '/Users/bramvandesande/Projects/lcb/resources/rscenic/1.6_tfModules.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_modules = pd.read_csv('/Users/bramvandesande/Projects/lcb/resources/rscenic/1.6_tfModules.txt',\n",
    "                          usecols=['Target', 'TF', 'method'])\n",
    "r_modules.columns = ['target', 'TF', 'method']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4363616"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(r_modules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "w001              3261351\n",
       "top50perTarget     604300\n",
       "w005               266475\n",
       "top10perTarget     120860\n",
       "top5perTarget       60430\n",
       "top50               50200\n",
       "Name: method, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_modules.method.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exact comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "COLUMN_NAMES = ['TF', 'target', 'method']\n",
    "df_modules = df_modules[COLUMN_NAMES].sort_values(by=COLUMN_NAMES).reset_index()\n",
    "del df_modules['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_modules = r_modules.sort_values(by=COLUMN_NAMES).reset_index()\n",
    "del r_modules['index']\n",
    "r_modules = r_modules[COLUMN_NAMES]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_modules.equals(df_modules)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--------\n",
    "\n",
    "## Phase II: Prune modules for targets with cis regulatory footprints (aka RcisTarget)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prerequisites: are the inputs the same?\n",
    "\n",
    "#### 1. Modules\n",
    "\n",
    "They are the same for both pipelines because they both start from the same RData file.\n",
    "\n",
    "_Proof:_ \n",
    "\n",
    "Use the same adjancencies from the tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "load('/Users/bramvandesande/Projects/lcb/resources/rscenic/1.7_tfModules_withCorr.RData')\n",
    "write.csv(tfModules_withCorr, '/Users/bramvandesande/Projects/lcb/resources/rscenic/1.7_tfModules_withCorr.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Target</th>\n",
       "      <th>TF</th>\n",
       "      <th>method</th>\n",
       "      <th>corr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Slc27a3</td>\n",
       "      <td>1810024B03Rik</td>\n",
       "      <td>w001</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ankrd39</td>\n",
       "      <td>1810024B03Rik</td>\n",
       "      <td>w001</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tbc1d25</td>\n",
       "      <td>1810024B03Rik</td>\n",
       "      <td>w001</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mak</td>\n",
       "      <td>1810024B03Rik</td>\n",
       "      <td>w001</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Tmem86b</td>\n",
       "      <td>1810024B03Rik</td>\n",
       "      <td>w001</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Target             TF method  corr\n",
       "0  Slc27a3  1810024B03Rik   w001     0\n",
       "1  Ankrd39  1810024B03Rik   w001     1\n",
       "2  Tbc1d25  1810024B03Rik   w001     0\n",
       "3      Mak  1810024B03Rik   w001     1\n",
       "4  Tmem86b  1810024B03Rik   w001     1"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_adjacencies = pd.read_csv('/Users/bramvandesande/Projects/lcb/resources/rscenic/1.7_tfModules_withCorr.txt',\n",
    "                         usecols=['Target', 'TF', 'method', 'corr'])\n",
    "r_adjacencies.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Remove genes in a module that are not part of the database rankings.\n",
    "2. Remove modules with number of genes < 20.\n",
    "3. Add own TF to its own module.\n",
    "4. Only look at TF-target that have an activiting function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "genes_in_db = RankingDatabase(DATABASE_FNAME_500bp, name=\"500bp\", nomenclature=\"MGI\").geneset\n",
    "r_adjacencies = r_adjacencies[r_adjacencies['corr'] > 0]\n",
    "method2modules = defaultdict(list)\n",
    "for (tf, method), df_grp in r_adjacencies.groupby(by=['TF', 'method']):\n",
    "    targets = set(df_grp['Target'].values)\n",
    "    if len(targets) < 20:\n",
    "        continue\n",
    "    targets.add(tf)\n",
    "    regulome = Regulome(name=\"{} - {}\".format(tf, method), nomenclature=\"MGI\", \n",
    "                        score=0.0, context=frozenset([method]),\n",
    "                        transcription_factor=tf, gene2weights=targets.intersection(genes_in_db))\n",
    "    method2modules[method].append(regulome)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "top50 - 974\n",
      "top50perTarget - 976\n",
      "w001 - 1004\n",
      "w005 - 612\n",
      "top10perTarget - 486\n",
      "top5perTarget - 259\n"
     ]
    }
   ],
   "source": [
    "for method, modules in method2modules.items():\n",
    "    print(method, \"-\", len(modules))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "##  top5perTarget top10perTarget           w005          top50 top50perTarget \n",
    "##            259            486            612            974            976 \n",
    "##           w001 \n",
    "##           1004"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4311"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "modules = reduce(concat, method2modules.values())\n",
    "len(modules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_to_yaml(modules, os.path.join(RESOURCES_FOLDER, \"modules_zeisel_2015.yaml\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. Databases\n",
    "\n",
    "They are exactly the same. The 7species version of the database was used. The R-based databases are 1-based while the python versions are 0-based. The AUC calculation methods take this difference into account.\n",
    "\n",
    "_Proof:_\n",
    "\n",
    "Convert the RData rankings file to txt in R:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R\n",
    "install.packages(\"http://scenic.aertslab.org/downloads/Rpackages/RcisTarget_0.99.0.tar.gz\", repos=NULL)\n",
    "load('/Users/bramvandesande/Projects/lcb/databases/RcisTarget.mm9.motifDatabases.20k/data/mm9_10kbpAroundTss_motifRanking.RData')\n",
    "rankings <- as.data.frame(mm9_10kbpAroundTss_motifRanking@rankings)\n",
    "write.csv(rankings, '/Users/bramvandesande/Projects/lcb/resources/rscenic/mm9_10kbpAroundTss_motifRanking.txt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This results in:\n",
    "```\n",
    ">>head -5 mm9_10kbpAroundTss_motifRanking.txt | cut -d',' -f1-4\n",
    "\"\",\"rn\",\"jaspar__MA1023.1\",\"taipale__DBP_DBD_NRTTACGTAAYN\"\n",
    "\"1\",\"0610007C21Rik\",17074,20247\n",
    "\"2\",\"0610007L01Rik\",2779,14344\n",
    "\"3\",\"0610007P08Rik\",13401,3668\n",
    "\"4\",\"0610007P14Rik\",9703,9810\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_rankings_r = pd.read_csv('/Users/bramvandesande/Projects/lcb/resources/rscenic/mm9_10kbpAroundTss_motifRanking.txt',\n",
    "                          sep=\",\")\n",
    "del df_rankings_r['Unnamed: 0']\n",
    "df_rankings_r.set_index('rn', inplace=True)\n",
    "df_rankings_r = df_rankings_r.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load python databases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATABASE_FOLDER = \"/Users/bramvandesande/Projects/lcb/databases/\"\n",
    "DATABASE_FNAME_10kbp_7sp = os.path.join(DATABASE_FOLDER, \"mm9-tss-centered-10kb-7species.mc8nr.feather\")\n",
    "DATABASE_FNAME_10kbp_10sp = os.path.join(DATABASE_FOLDER, \"mm9-tss-centered-10kb-10species.mc8nr.feather\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[FeatherRankingDatabase(name=\"10kbp_7sp\",nomenclature=MGI),\n",
       " FeatherRankingDatabase(name=\"10kbp_10sp\",nomenclature=MGI)]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rnkdbs = [RankingDatabase(fname, name, \"MGI\") for fname, name in zip([DATABASE_FNAME_10kbp_7sp, DATABASE_FNAME_10kbp_10sp], ['10kbp_7sp', '10kbp_10sp'])]\n",
    "df_rankings_python = rnkdbs[0].load_full()\n",
    "rnkdbs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare databases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0610007C21Rik</th>\n",
       "      <th>0610007L01Rik</th>\n",
       "      <th>0610007P08Rik</th>\n",
       "      <th>0610007P14Rik</th>\n",
       "      <th>0610007P22Rik</th>\n",
       "      <th>0610008F07Rik</th>\n",
       "      <th>0610009B14Rik</th>\n",
       "      <th>0610009B22Rik</th>\n",
       "      <th>0610009D07Rik</th>\n",
       "      <th>0610009O20Rik</th>\n",
       "      <th>...</th>\n",
       "      <th>Zxdb</th>\n",
       "      <th>Zxdc</th>\n",
       "      <th>Zyg11a</th>\n",
       "      <th>Zyg11b</th>\n",
       "      <th>Zyx</th>\n",
       "      <th>Zzef1</th>\n",
       "      <th>Zzz3</th>\n",
       "      <th>a</th>\n",
       "      <th>l7Rn6</th>\n",
       "      <th>rp9</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>features</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>jaspar__MA1023.1</th>\n",
       "      <td>17073</td>\n",
       "      <td>2778</td>\n",
       "      <td>13400</td>\n",
       "      <td>9702</td>\n",
       "      <td>9939</td>\n",
       "      <td>17462</td>\n",
       "      <td>21205</td>\n",
       "      <td>20453</td>\n",
       "      <td>14385</td>\n",
       "      <td>16427</td>\n",
       "      <td>...</td>\n",
       "      <td>12527</td>\n",
       "      <td>16598</td>\n",
       "      <td>16211</td>\n",
       "      <td>15110</td>\n",
       "      <td>7642</td>\n",
       "      <td>18143</td>\n",
       "      <td>6576</td>\n",
       "      <td>11923</td>\n",
       "      <td>9174</td>\n",
       "      <td>16649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taipale__DBP_DBD_NRTTACGTAAYN</th>\n",
       "      <td>20246</td>\n",
       "      <td>14343</td>\n",
       "      <td>3667</td>\n",
       "      <td>9809</td>\n",
       "      <td>20880</td>\n",
       "      <td>12071</td>\n",
       "      <td>21287</td>\n",
       "      <td>18210</td>\n",
       "      <td>8132</td>\n",
       "      <td>14668</td>\n",
       "      <td>...</td>\n",
       "      <td>10315</td>\n",
       "      <td>11262</td>\n",
       "      <td>20894</td>\n",
       "      <td>11005</td>\n",
       "      <td>9941</td>\n",
       "      <td>17313</td>\n",
       "      <td>9217</td>\n",
       "      <td>18784</td>\n",
       "      <td>5116</td>\n",
       "      <td>17073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cisbp__M4240</th>\n",
       "      <td>16807</td>\n",
       "      <td>13328</td>\n",
       "      <td>9744</td>\n",
       "      <td>14328</td>\n",
       "      <td>20185</td>\n",
       "      <td>7853</td>\n",
       "      <td>20842</td>\n",
       "      <td>19961</td>\n",
       "      <td>11189</td>\n",
       "      <td>13745</td>\n",
       "      <td>...</td>\n",
       "      <td>10063</td>\n",
       "      <td>18400</td>\n",
       "      <td>20008</td>\n",
       "      <td>12029</td>\n",
       "      <td>9912</td>\n",
       "      <td>7628</td>\n",
       "      <td>15223</td>\n",
       "      <td>20636</td>\n",
       "      <td>6397</td>\n",
       "      <td>11057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scertf__macisaac.ACE2</th>\n",
       "      <td>18395</td>\n",
       "      <td>15411</td>\n",
       "      <td>8021</td>\n",
       "      <td>14640</td>\n",
       "      <td>20831</td>\n",
       "      <td>12372</td>\n",
       "      <td>18688</td>\n",
       "      <td>16341</td>\n",
       "      <td>11115</td>\n",
       "      <td>15910</td>\n",
       "      <td>...</td>\n",
       "      <td>16318</td>\n",
       "      <td>18077</td>\n",
       "      <td>20963</td>\n",
       "      <td>16080</td>\n",
       "      <td>10168</td>\n",
       "      <td>14438</td>\n",
       "      <td>9159</td>\n",
       "      <td>19352</td>\n",
       "      <td>3602</td>\n",
       "      <td>10770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transfac_pro__M06931</th>\n",
       "      <td>14964</td>\n",
       "      <td>10267</td>\n",
       "      <td>12241</td>\n",
       "      <td>15530</td>\n",
       "      <td>20887</td>\n",
       "      <td>14106</td>\n",
       "      <td>21426</td>\n",
       "      <td>21046</td>\n",
       "      <td>4870</td>\n",
       "      <td>15032</td>\n",
       "      <td>...</td>\n",
       "      <td>10989</td>\n",
       "      <td>13681</td>\n",
       "      <td>19851</td>\n",
       "      <td>11169</td>\n",
       "      <td>14565</td>\n",
       "      <td>11649</td>\n",
       "      <td>6007</td>\n",
       "      <td>17693</td>\n",
       "      <td>275</td>\n",
       "      <td>14800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22058 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               0610007C21Rik  0610007L01Rik  0610007P08Rik  \\\n",
       "features                                                                     \n",
       "jaspar__MA1023.1                       17073           2778          13400   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN          20246          14343           3667   \n",
       "cisbp__M4240                           16807          13328           9744   \n",
       "scertf__macisaac.ACE2                  18395          15411           8021   \n",
       "transfac_pro__M06931                   14964          10267          12241   \n",
       "\n",
       "                               0610007P14Rik  0610007P22Rik  0610008F07Rik  \\\n",
       "features                                                                     \n",
       "jaspar__MA1023.1                        9702           9939          17462   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN           9809          20880          12071   \n",
       "cisbp__M4240                           14328          20185           7853   \n",
       "scertf__macisaac.ACE2                  14640          20831          12372   \n",
       "transfac_pro__M06931                   15530          20887          14106   \n",
       "\n",
       "                               0610009B14Rik  0610009B22Rik  0610009D07Rik  \\\n",
       "features                                                                     \n",
       "jaspar__MA1023.1                       21205          20453          14385   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN          21287          18210           8132   \n",
       "cisbp__M4240                           20842          19961          11189   \n",
       "scertf__macisaac.ACE2                  18688          16341          11115   \n",
       "transfac_pro__M06931                   21426          21046           4870   \n",
       "\n",
       "                               0610009O20Rik  ...     Zxdb   Zxdc  Zyg11a  \\\n",
       "features                                      ...                           \n",
       "jaspar__MA1023.1                       16427  ...    12527  16598   16211   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN          14668  ...    10315  11262   20894   \n",
       "cisbp__M4240                           13745  ...    10063  18400   20008   \n",
       "scertf__macisaac.ACE2                  15910  ...    16318  18077   20963   \n",
       "transfac_pro__M06931                   15032  ...    10989  13681   19851   \n",
       "\n",
       "                               Zyg11b    Zyx  Zzef1   Zzz3      a  l7Rn6  \\\n",
       "features                                                                   \n",
       "jaspar__MA1023.1                15110   7642  18143   6576  11923   9174   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN   11005   9941  17313   9217  18784   5116   \n",
       "cisbp__M4240                    12029   9912   7628  15223  20636   6397   \n",
       "scertf__macisaac.ACE2           16080  10168  14438   9159  19352   3602   \n",
       "transfac_pro__M06931            11169  14565  11649   6007  17693    275   \n",
       "\n",
       "                                 rp9  \n",
       "features                              \n",
       "jaspar__MA1023.1               16649  \n",
       "taipale__DBP_DBD_NRTTACGTAAYN  17073  \n",
       "cisbp__M4240                   11057  \n",
       "scertf__macisaac.ACE2          10770  \n",
       "transfac_pro__M06931           14800  \n",
       "\n",
       "[5 rows x 22058 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rankings_python.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>rn</th>\n",
       "      <th>0610007C21Rik</th>\n",
       "      <th>0610007L01Rik</th>\n",
       "      <th>0610007P08Rik</th>\n",
       "      <th>0610007P14Rik</th>\n",
       "      <th>0610007P22Rik</th>\n",
       "      <th>0610008F07Rik</th>\n",
       "      <th>0610009B14Rik</th>\n",
       "      <th>0610009B22Rik</th>\n",
       "      <th>0610009D07Rik</th>\n",
       "      <th>0610009O20Rik</th>\n",
       "      <th>...</th>\n",
       "      <th>Zxdb</th>\n",
       "      <th>Zxdc</th>\n",
       "      <th>Zyg11a</th>\n",
       "      <th>Zyg11b</th>\n",
       "      <th>Zyx</th>\n",
       "      <th>Zzef1</th>\n",
       "      <th>Zzz3</th>\n",
       "      <th>a</th>\n",
       "      <th>l7Rn6</th>\n",
       "      <th>rp9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>jaspar__MA1023.1</th>\n",
       "      <td>17074</td>\n",
       "      <td>2779</td>\n",
       "      <td>13401</td>\n",
       "      <td>9703</td>\n",
       "      <td>9940</td>\n",
       "      <td>17463</td>\n",
       "      <td>21206</td>\n",
       "      <td>20454</td>\n",
       "      <td>14386</td>\n",
       "      <td>16428</td>\n",
       "      <td>...</td>\n",
       "      <td>12528</td>\n",
       "      <td>16599</td>\n",
       "      <td>16212</td>\n",
       "      <td>15111</td>\n",
       "      <td>7643</td>\n",
       "      <td>18144</td>\n",
       "      <td>6577</td>\n",
       "      <td>11924</td>\n",
       "      <td>9175</td>\n",
       "      <td>16650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taipale__DBP_DBD_NRTTACGTAAYN</th>\n",
       "      <td>20247</td>\n",
       "      <td>14344</td>\n",
       "      <td>3668</td>\n",
       "      <td>9810</td>\n",
       "      <td>20881</td>\n",
       "      <td>12072</td>\n",
       "      <td>21288</td>\n",
       "      <td>18211</td>\n",
       "      <td>8133</td>\n",
       "      <td>14669</td>\n",
       "      <td>...</td>\n",
       "      <td>10316</td>\n",
       "      <td>11263</td>\n",
       "      <td>20895</td>\n",
       "      <td>11006</td>\n",
       "      <td>9942</td>\n",
       "      <td>17314</td>\n",
       "      <td>9218</td>\n",
       "      <td>18785</td>\n",
       "      <td>5117</td>\n",
       "      <td>17074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cisbp__M4240</th>\n",
       "      <td>16808</td>\n",
       "      <td>13329</td>\n",
       "      <td>9745</td>\n",
       "      <td>14329</td>\n",
       "      <td>20186</td>\n",
       "      <td>7854</td>\n",
       "      <td>20843</td>\n",
       "      <td>19962</td>\n",
       "      <td>11190</td>\n",
       "      <td>13746</td>\n",
       "      <td>...</td>\n",
       "      <td>10064</td>\n",
       "      <td>18401</td>\n",
       "      <td>20009</td>\n",
       "      <td>12030</td>\n",
       "      <td>9913</td>\n",
       "      <td>7629</td>\n",
       "      <td>15224</td>\n",
       "      <td>20637</td>\n",
       "      <td>6398</td>\n",
       "      <td>11058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scertf__macisaac.ACE2</th>\n",
       "      <td>18396</td>\n",
       "      <td>15412</td>\n",
       "      <td>8022</td>\n",
       "      <td>14641</td>\n",
       "      <td>20832</td>\n",
       "      <td>12373</td>\n",
       "      <td>18689</td>\n",
       "      <td>16342</td>\n",
       "      <td>11116</td>\n",
       "      <td>15911</td>\n",
       "      <td>...</td>\n",
       "      <td>16319</td>\n",
       "      <td>18078</td>\n",
       "      <td>20964</td>\n",
       "      <td>16081</td>\n",
       "      <td>10169</td>\n",
       "      <td>14439</td>\n",
       "      <td>9160</td>\n",
       "      <td>19353</td>\n",
       "      <td>3603</td>\n",
       "      <td>10771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transfac_pro__M06931</th>\n",
       "      <td>14965</td>\n",
       "      <td>10268</td>\n",
       "      <td>12242</td>\n",
       "      <td>15531</td>\n",
       "      <td>20888</td>\n",
       "      <td>14107</td>\n",
       "      <td>21427</td>\n",
       "      <td>21047</td>\n",
       "      <td>4871</td>\n",
       "      <td>15033</td>\n",
       "      <td>...</td>\n",
       "      <td>10990</td>\n",
       "      <td>13682</td>\n",
       "      <td>19852</td>\n",
       "      <td>11170</td>\n",
       "      <td>14566</td>\n",
       "      <td>11650</td>\n",
       "      <td>6008</td>\n",
       "      <td>17694</td>\n",
       "      <td>276</td>\n",
       "      <td>14801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22058 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "rn                             0610007C21Rik  0610007L01Rik  0610007P08Rik  \\\n",
       "jaspar__MA1023.1                       17074           2779          13401   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN          20247          14344           3668   \n",
       "cisbp__M4240                           16808          13329           9745   \n",
       "scertf__macisaac.ACE2                  18396          15412           8022   \n",
       "transfac_pro__M06931                   14965          10268          12242   \n",
       "\n",
       "rn                             0610007P14Rik  0610007P22Rik  0610008F07Rik  \\\n",
       "jaspar__MA1023.1                        9703           9940          17463   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN           9810          20881          12072   \n",
       "cisbp__M4240                           14329          20186           7854   \n",
       "scertf__macisaac.ACE2                  14641          20832          12373   \n",
       "transfac_pro__M06931                   15531          20888          14107   \n",
       "\n",
       "rn                             0610009B14Rik  0610009B22Rik  0610009D07Rik  \\\n",
       "jaspar__MA1023.1                       21206          20454          14386   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN          21288          18211           8133   \n",
       "cisbp__M4240                           20843          19962          11190   \n",
       "scertf__macisaac.ACE2                  18689          16342          11116   \n",
       "transfac_pro__M06931                   21427          21047           4871   \n",
       "\n",
       "rn                             0610009O20Rik  ...     Zxdb   Zxdc  Zyg11a  \\\n",
       "jaspar__MA1023.1                       16428  ...    12528  16599   16212   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN          14669  ...    10316  11263   20895   \n",
       "cisbp__M4240                           13746  ...    10064  18401   20009   \n",
       "scertf__macisaac.ACE2                  15911  ...    16319  18078   20964   \n",
       "transfac_pro__M06931                   15033  ...    10990  13682   19852   \n",
       "\n",
       "rn                             Zyg11b    Zyx  Zzef1   Zzz3      a  l7Rn6  \\\n",
       "jaspar__MA1023.1                15111   7643  18144   6577  11924   9175   \n",
       "taipale__DBP_DBD_NRTTACGTAAYN   11006   9942  17314   9218  18785   5117   \n",
       "cisbp__M4240                    12030   9913   7629  15224  20637   6398   \n",
       "scertf__macisaac.ACE2           16081  10169  14439   9160  19353   3603   \n",
       "transfac_pro__M06931            11170  14566  11650   6008  17694    276   \n",
       "\n",
       "rn                               rp9  \n",
       "jaspar__MA1023.1               16650  \n",
       "taipale__DBP_DBD_NRTTACGTAAYN  17074  \n",
       "cisbp__M4240                   11058  \n",
       "scertf__macisaac.ACE2          10771  \n",
       "transfac_pro__M06931           14801  \n",
       "\n",
       "[5 rows x 22058 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rankings.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "R ranking databases are 1-based. This has been taken into account and is confirmed by the code snippet:\n",
    "\n",
    "```\n",
    "rankingsOneGeneOrRegion <- readBin(\n",
    "    featureBinaryRankingsForGeneOrRegion$ranking[[1]],\n",
    "    n = rankingsDb@numberOfFeaturesInRankingsDb,\n",
    "    what = \"integer\",\n",
    "    size = rankingsDb@signedIntegerByteSize,\n",
    "    signed = \"TRUE\",\n",
    "    endian = \"little\"\n",
    "  ) + 1\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rankings.min().min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rankings_python.min().min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20003, 22058)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rankings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20003, 22058)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rankings_python.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 7 species version 8 of the rankings database is used by Sara in her tutorial. This same version is used for the motif annotations file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create dataframe with enriched and TF-annotated motifs + leading edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[FeatherRankingDatabase(name=\"500bp\",nomenclature=MGI),\n",
       " FeatherRankingDatabase(name=\"10kbp\",nomenclature=MGI)]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rnkdbs = [RankingDatabase(fname, name, \"MGI\") for fname, name in zip([DATABASE_FNAME_500bp, DATABASE_FNAME_10kbp], ['500bp', '10kbp'])]\n",
    "rnkdbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using 6 workers.\n",
      "2018-03-02 13:20:49.092163 - Worker 500bp(3): database loaded in memory.\n",
      "2018-03-02 13:20:49.166170 - Worker 500bp(2): database loaded in memory.\n",
      "2018-03-02 13:20:49.193472 - Worker 500bp(1): database loaded in memory.\n",
      "2018-03-02 13:20:50.500286 - Worker 500bp(3): motif annotations loaded in memory.\n",
      "2018-03-02 13:20:50.500324 - Worker 500bp(2): motif annotations loaded in memory.\n",
      "2018-03-02 13:20:50.500078 - Worker 500bp(1): motif annotations loaded in memory.\n",
      "2018-03-02 13:20:59.325886 - Worker 10kbp(1): database loaded in memory.\n",
      "2018-03-02 13:20:59.495142 - Worker 10kbp(2): database loaded in memory.\n",
      "2018-03-02 13:20:59.592864 - Worker 10kbp(3): database loaded in memory.\n",
      "2018-03-02 13:21:01.756350 - Worker 10kbp(1): motif annotations loaded in memory.\n",
      "2018-03-02 13:21:01.900077 - Worker 10kbp(2): motif annotations loaded in memory.\n",
      "2018-03-02 13:21:02.116083 - Worker 10kbp(3): motif annotations loaded in memory.\n",
      "2018-03-02 14:45:05.829295 - Worker 500bp(1): All regulomes derived.\n",
      "2018-03-02 14:45:08.053613 - Worker 500bp(1): Done.\n",
      "2018-03-02 14:46:31.398522 - Worker 500bp(3): All regulomes derived.\n",
      "2018-03-02 14:50:31.797138 - Worker 500bp(2): All regulomes derived.\n",
      "2018-03-02 14:50:50.157008 - Worker 500bp(2): Done.\n",
      "2018-03-02 14:50:51.971190 - Worker 500bp(3): Done.\n",
      "2018-03-02 14:55:31.929270 - Worker 10kbp(3): All regulomes derived.\n",
      "2018-03-02 14:57:08.487173 - Worker 10kbp(1): All regulomes derived.\n",
      "2018-03-02 14:57:10.735709 - Worker 10kbp(1): Done.\n",
      "2018-03-02 15:07:11.877565 - Worker 10kbp(2): All regulomes derived.\n",
      "2018-03-02 15:07:32.776977 - Worker 10kbp(2): Done.\n",
      "2018-03-02 15:07:34.341703 - Worker 10kbp(3): Done.\n"
     ]
    }
   ],
   "source": [
    "df = prune_targets(rnkdbs, modules, \n",
    "                      MOTIF_ANNOTATIONS_FNAME, \n",
    "                      rank_threshold=5000, auc_threshold=0.01, nes_threshold=3.0,\n",
    "                      output=\"df\",\n",
    "                      client_or_address=\"custom_multiprocessing\", num_workers=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11929"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Enrichment</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "      <th>MotifSimilarityQvalue</th>\n",
       "      <th>OrthologousIdentity</th>\n",
       "      <th>Annotation</th>\n",
       "      <th>Context</th>\n",
       "      <th>TargetGenes</th>\n",
       "      <th>RankAtMax</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TF</th>\n",
       "      <th>MotifID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Acaa1b</th>\n",
       "      <th>transfac_pro__M01543</th>\n",
       "      <td>0.074932</td>\n",
       "      <td>4.391225</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.517986</td>\n",
       "      <td>motif similar to transfac_pro__M04671 ('F$POT1...</td>\n",
       "      <td>(top50, 500bp)</td>\n",
       "      <td>[(Col7a1, 1.0), (Lmna, 1.0), (Crh, 1.0), (Htr1...</td>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transfac_pro__M04671</th>\n",
       "      <td>0.073303</td>\n",
       "      <td>4.283264</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.517986</td>\n",
       "      <td>motif is annotated for orthologous gene YIL160...</td>\n",
       "      <td>(top50, 500bp)</td>\n",
       "      <td>[(Col7a1, 1.0), (Lmna, 1.0), (Crh, 1.0), (Htr1...</td>\n",
       "      <td>1407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anxa11</th>\n",
       "      <th>hdpi__ANXA11</th>\n",
       "      <td>0.047817</td>\n",
       "      <td>3.146169</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.932406</td>\n",
       "      <td>gene is orthologous to ENSG00000122359 in H. s...</td>\n",
       "      <td>(top50, 500bp)</td>\n",
       "      <td>[(Ksr2, 1.0), (Ecm1, 1.0), (Cux2, 1.0), (Gpr13...</td>\n",
       "      <td>2736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ar</th>\n",
       "      <th>homer__CCAGGAACAG_AR-halfsite</th>\n",
       "      <td>0.053667</td>\n",
       "      <td>7.213116</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.877642</td>\n",
       "      <td>gene is orthologous to ENSG00000169083 in H. s...</td>\n",
       "      <td>(top50, 500bp)</td>\n",
       "      <td>[(Bmpr1b, 1.0), (Kcns1, 1.0), (Ptpru, 1.0)]</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arid3a</th>\n",
       "      <th>transfac_pro__M04727</th>\n",
       "      <td>0.035860</td>\n",
       "      <td>3.002165</td>\n",
       "      <td>0.000255</td>\n",
       "      <td>0.798669</td>\n",
       "      <td>gene is orthologous to ENSG00000116017 in H. s...</td>\n",
       "      <td>(top50, 500bp)</td>\n",
       "      <td>[(Sdk2, 1.0)]</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Enrichment            \\\n",
       "                                            AUC       NES   \n",
       "TF     MotifID                                              \n",
       "Acaa1b transfac_pro__M01543            0.074932  4.391225   \n",
       "       transfac_pro__M04671            0.073303  4.283264   \n",
       "Anxa11 hdpi__ANXA11                    0.047817  3.146169   \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite   0.053667  7.213116   \n",
       "Arid3a transfac_pro__M04727            0.035860  3.002165   \n",
       "\n",
       "                                                            \\\n",
       "                                     MotifSimilarityQvalue   \n",
       "TF     MotifID                                               \n",
       "Acaa1b transfac_pro__M01543                       0.000000   \n",
       "       transfac_pro__M04671                       0.000000   \n",
       "Anxa11 hdpi__ANXA11                               0.000000   \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite              0.000000   \n",
       "Arid3a transfac_pro__M04727                       0.000255   \n",
       "\n",
       "                                                          \\\n",
       "                                     OrthologousIdentity   \n",
       "TF     MotifID                                             \n",
       "Acaa1b transfac_pro__M01543                     0.517986   \n",
       "       transfac_pro__M04671                     0.517986   \n",
       "Anxa11 hdpi__ANXA11                             0.932406   \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite            0.877642   \n",
       "Arid3a transfac_pro__M04727                     0.798669   \n",
       "\n",
       "                                                                                         \\\n",
       "                                                                             Annotation   \n",
       "TF     MotifID                                                                            \n",
       "Acaa1b transfac_pro__M01543           motif similar to transfac_pro__M04671 ('F$POT1...   \n",
       "       transfac_pro__M04671           motif is annotated for orthologous gene YIL160...   \n",
       "Anxa11 hdpi__ANXA11                   gene is orthologous to ENSG00000122359 in H. s...   \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite  gene is orthologous to ENSG00000169083 in H. s...   \n",
       "Arid3a transfac_pro__M04727           gene is orthologous to ENSG00000116017 in H. s...   \n",
       "\n",
       "                                                      \\\n",
       "                                             Context   \n",
       "TF     MotifID                                         \n",
       "Acaa1b transfac_pro__M01543           (top50, 500bp)   \n",
       "       transfac_pro__M04671           (top50, 500bp)   \n",
       "Anxa11 hdpi__ANXA11                   (top50, 500bp)   \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite  (top50, 500bp)   \n",
       "Arid3a transfac_pro__M04727           (top50, 500bp)   \n",
       "\n",
       "                                                                                         \\\n",
       "                                                                            TargetGenes   \n",
       "TF     MotifID                                                                            \n",
       "Acaa1b transfac_pro__M01543           [(Col7a1, 1.0), (Lmna, 1.0), (Crh, 1.0), (Htr1...   \n",
       "       transfac_pro__M04671           [(Col7a1, 1.0), (Lmna, 1.0), (Crh, 1.0), (Htr1...   \n",
       "Anxa11 hdpi__ANXA11                   [(Ksr2, 1.0), (Ecm1, 1.0), (Cux2, 1.0), (Gpr13...   \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite        [(Bmpr1b, 1.0), (Kcns1, 1.0), (Ptpru, 1.0)]   \n",
       "Arid3a transfac_pro__M04727                                               [(Sdk2, 1.0)]   \n",
       "\n",
       "                                                \n",
       "                                     RankAtMax  \n",
       "TF     MotifID                                  \n",
       "Acaa1b transfac_pro__M01543               1459  \n",
       "       transfac_pro__M04671               1407  \n",
       "Anxa11 hdpi__ANXA11                       2736  \n",
       "Ar     homer__CCAGGAACAG_AR-halfsite        92  \n",
       "Arid3a transfac_pro__M04727                  4  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save to disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(os.path.join(RESOURCES_FOLDER, \"regulomes_zeisel_2015.csv\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11559"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(os.path.join(RESOURCES_FOLDER, \"regulomes_zeisel_2015.csv\"),\n",
    "                 index_col=[0,1], header=[0,1], skipinitialspace=True)\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison of enriched motifs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Potential causes of differences:\n",
    "- _0-based rankings (python) versus 1-based rankings (R SCENIC version)?_ This has an effect on the interpretation of rank_cutoff. With 0-based the rank_cutoff is included while in 1-based systems this is not the cause. Both are correct calculations but just a difference in interpretation of the parameter. The normalization factor (maxAUC) should be corrected though.\n",
    "```\n",
    "aucThreshold <- round(aucMaxRank)\n",
    "maxAUC <- aucThreshold * nrow(gSetRanks)\n",
    "```\n",
    "(According to this code snippet the maxAUC is calculated to take the aucThreshold into account while this is not the case for the current R implementation of the AUC calculation + 1-based rankings)\n",
    "- _NES threshold (3.0)_. Exactly the same for both pipeline.\n",
    "- _Digits for truncation of NES and AUC values (3)_. Is available in the R version of the pipeline. This should have no effect on the calculations as this is only used for creating the final results table.\n",
    "- _Rank threshold (5000)_. Is exactly the same. Can only have an effect on the LE calculation. Has no effect on AUC calculations.\n",
    "- _AUC fraction (0.01)_. Is used to calculate the rank cutoff. Is the same between both pipelines. However the way the AUC cutoff is calculated in the R implementation was different because it is rounded while in the python implementation it was floored. The difference is corrected.\n",
    "\n",
    "```\n",
    ".AUC.geneSet <- function(geneSet, rankings, aucMaxRank, gSetName=\"\")\n",
    "{\n",
    "  geneSet <- unique(geneSet)\n",
    "  nGenes <- length(geneSet)\n",
    "  geneSet <- geneSet[which(geneSet %in% rownames(rankings))]\n",
    "  missing <- nGenes-length(geneSet)\n",
    "\n",
    "  # gene names are no longer needed\n",
    "  gSetRanks <- rankings[geneSet,]\n",
    "  rm(rankings)\n",
    "\n",
    "  aucThreshold <- round(aucMaxRank)\n",
    "  maxAUC <- aucThreshold * nrow(gSetRanks)\n",
    "\n",
    "  auc <- apply(gSetRanks, 2, .auc, aucThreshold, maxAUC)\n",
    "\n",
    "  c(auc, missing=missing, nGenes=nGenes)\n",
    "}\n",
    "\n",
    "```\n",
    "\n",
    "- _Minimum orthologous identity and maximum motif similarity FDR_: effect can be assessed in the results table from the python pipeline. But currently the R-based pipeline differentiates only two levels: directly annotated (direct or through orthologous identity) + inferred annotations through motif similarity.\n",
    "- _Ranking databases (500bp-upstream and 10kp-centered-arount-tss; both 20k features, i.e. version 8)_. Are the same.\n",
    "- _Some gene signatures are removed before NES calculation_: If more than 80% of genes of a signatures are missing. This signature is skipped. This should not affect the AUC calculation at all because AUC is calculated across features for the same signature only. This is now also part of the pySCENIC implementation.\n",
    "\n",
    "```\n",
    "if(all(missingPercent>=.80))\n",
    "    stop(\"Fewer than 20% of the genes in the gene sets\",\n",
    "         \" are included in the rankings.\",\n",
    "         \"Check wether the gene IDs in the 'rankings' and 'geneSets' match.\")\n",
    "\n",
    "  if(any(missingPercent>.80))\n",
    "  {\n",
    "    warning(\"The following gene sets will be excluded from the analysis\",\n",
    "            \"(less than 20% of their genes are available):\\n\",\n",
    "            paste(names(missingPercent)[which(missingPercent >= .80)],\n",
    "                  collapse=\", \"),\n",
    "            immediate.=TRUE)\n",
    "    aucMatrix <- aucMatrix[which(missingPercent < .80),,drop=FALSE]\n",
    "  }\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load R table of enriched motifs and convert it to a comparable format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11558"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_df = pd.read_csv(os.path.join(RESOURCES_FOLDER, \"rscenic/2.4_motifEnrichment_selfMotifs.txt\"))\n",
    "len(r_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>motifDb</th>\n",
       "      <th>geneSet</th>\n",
       "      <th>motif</th>\n",
       "      <th>NES</th>\n",
       "      <th>AUC</th>\n",
       "      <th>highlightedTFs</th>\n",
       "      <th>TFinDB</th>\n",
       "      <th>TF_direct</th>\n",
       "      <th>TF_inferred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>500bp</td>\n",
       "      <td>Acaa1b_top50</td>\n",
       "      <td>transfac_pro__M04671</td>\n",
       "      <td>4.28</td>\n",
       "      <td>0.0733</td>\n",
       "      <td>Acaa1b</td>\n",
       "      <td>**</td>\n",
       "      <td>Acaa1a; Acaa1b; Foxf1; Foxf2; Foxg1; Foxh1; Fo...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>500bp</td>\n",
       "      <td>Acaa1b_top50</td>\n",
       "      <td>transfac_pro__M01543</td>\n",
       "      <td>4.39</td>\n",
       "      <td>0.0749</td>\n",
       "      <td>Acaa1b</td>\n",
       "      <td>**</td>\n",
       "      <td>Acaa1a; Acaa1b; Foxf1; Foxf2; Foxg1; Foxh1; Fo...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>500bp</td>\n",
       "      <td>Ahr_w001</td>\n",
       "      <td>transfac_pro__M00778</td>\n",
       "      <td>3.22</td>\n",
       "      <td>0.0131</td>\n",
       "      <td>Ahr</td>\n",
       "      <td>**</td>\n",
       "      <td>Ahr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 motifDb       geneSet                 motif   NES     AUC  \\\n",
       "1           2   500bp  Acaa1b_top50  transfac_pro__M04671  4.28  0.0733   \n",
       "0           1   500bp  Acaa1b_top50  transfac_pro__M01543  4.39  0.0749   \n",
       "2           3   500bp      Ahr_w001  transfac_pro__M00778  3.22  0.0131   \n",
       "\n",
       "  highlightedTFs TFinDB                                          TF_direct  \\\n",
       "1         Acaa1b     **  Acaa1a; Acaa1b; Foxf1; Foxf2; Foxg1; Foxh1; Fo...   \n",
       "0         Acaa1b     **  Acaa1a; Acaa1b; Foxf1; Foxf2; Foxg1; Foxh1; Fo...   \n",
       "2            Ahr     **                                                Ahr   \n",
       "\n",
       "  TF_inferred  \n",
       "1         NaN  \n",
       "0         NaN  \n",
       "2         NaN  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_df.sort_values(by='NES', ascending=False).sort_values(by=['highlightedTFs']).head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DbId</th>\n",
       "      <th>ModuleType</th>\n",
       "      <th>MotifID</th>\n",
       "      <th>TF</th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50</td>\n",
       "      <td>transfac_pro__M01543</td>\n",
       "      <td>Acaa1b</td>\n",
       "      <td>0.0749</td>\n",
       "      <td>4.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50</td>\n",
       "      <td>transfac_pro__M04671</td>\n",
       "      <td>Acaa1b</td>\n",
       "      <td>0.0733</td>\n",
       "      <td>4.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>500bp</td>\n",
       "      <td>w001</td>\n",
       "      <td>transfac_pro__M00778</td>\n",
       "      <td>Ahr</td>\n",
       "      <td>0.0131</td>\n",
       "      <td>3.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    DbId ModuleType               MotifID      TF     AUC   NES\n",
       "0  500bp      top50  transfac_pro__M01543  Acaa1b  0.0749  4.39\n",
       "1  500bp      top50  transfac_pro__M04671  Acaa1b  0.0733  4.28\n",
       "2  500bp       w001  transfac_pro__M00778     Ahr  0.0131  3.22"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_df = r_df.rename(columns={'motifDb': 'DbId', 'geneSet': 'ModuleType', 'motif': 'MotifID', 'highlightedTFs': 'TF'})\n",
    "COLUMNS = ['DbId', 'ModuleType', 'MotifID', 'TF', 'AUC', 'NES']\n",
    "r_df = r_df[COLUMNS]\n",
    "r_df['ModuleType'] = r_df['ModuleType'].apply(lambda s: s.split(\"_\")[1])\n",
    "r_df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load python table of enriched motifs and convert it to a comparable format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11559"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py_df = pd.read_csv(os.path.join(RESOURCES_FOLDER, \"regulomes_zeisel_2015.csv\"),\n",
    "                 index_col=[0,1], header=[0,1], skipinitialspace=True)\n",
    "len(py_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead tr th {\n",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Enrichment</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "      <th>MotifSimilarityQvalue</th>\n",
       "      <th>OrthologousIdentity</th>\n",
       "      <th>Annotation</th>\n",
       "      <th>Context</th>\n",
       "      <th>TargetGenes</th>\n",
       "      <th>RankAtMax</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TF</th>\n",
       "      <th>MotifID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Acaa1b</th>\n",
       "      <th>transfac_pro__M01543</th>\n",
       "      <td>0.074932</td>\n",
       "      <td>4.391225</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.511792</td>\n",
       "      <td>gene is orthologous to YIL160C in S. cerevisia...</td>\n",
       "      <td>frozenset({'top50', 'mm9-500bp-upstream-7speci...</td>\n",
       "      <td>[('Col7a1', 1.0), ('Lmna', 1.0), ('Crh', 1.0),...</td>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transfac_pro__M04671</th>\n",
       "      <td>0.073303</td>\n",
       "      <td>4.283264</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.520384</td>\n",
       "      <td>motif is annotated for orthologous gene YIL160...</td>\n",
       "      <td>frozenset({'top50', 'mm9-500bp-upstream-7speci...</td>\n",
       "      <td>[('Col7a1', 1.0), ('Lmna', 1.0), ('Crh', 1.0),...</td>\n",
       "      <td>1407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahr</th>\n",
       "      <th>cisbp__M6139</th>\n",
       "      <td>0.012782</td>\n",
       "      <td>3.076509</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.730435</td>\n",
       "      <td>gene is orthologous to ENSG00000106546 in H. s...</td>\n",
       "      <td>frozenset({'w001', 'mm9-500bp-upstream-7specie...</td>\n",
       "      <td>[('Smad3', 1.0), ('Usp28', 1.0), ('Zbtb25', 1....</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Enrichment                                  \\\n",
       "                                   AUC       NES MotifSimilarityQvalue   \n",
       "TF     MotifID                                                           \n",
       "Acaa1b transfac_pro__M01543   0.074932  4.391225                   0.0   \n",
       "       transfac_pro__M04671   0.073303  4.283264                   0.0   \n",
       "Ahr    cisbp__M6139           0.012782  3.076509                   0.0   \n",
       "\n",
       "                                                 \\\n",
       "                            OrthologousIdentity   \n",
       "TF     MotifID                                    \n",
       "Acaa1b transfac_pro__M01543            0.511792   \n",
       "       transfac_pro__M04671            0.520384   \n",
       "Ahr    cisbp__M6139                    0.730435   \n",
       "\n",
       "                                                                                \\\n",
       "                                                                    Annotation   \n",
       "TF     MotifID                                                                   \n",
       "Acaa1b transfac_pro__M01543  gene is orthologous to YIL160C in S. cerevisia...   \n",
       "       transfac_pro__M04671  motif is annotated for orthologous gene YIL160...   \n",
       "Ahr    cisbp__M6139          gene is orthologous to ENSG00000106546 in H. s...   \n",
       "\n",
       "                                                                                \\\n",
       "                                                                       Context   \n",
       "TF     MotifID                                                                   \n",
       "Acaa1b transfac_pro__M01543  frozenset({'top50', 'mm9-500bp-upstream-7speci...   \n",
       "       transfac_pro__M04671  frozenset({'top50', 'mm9-500bp-upstream-7speci...   \n",
       "Ahr    cisbp__M6139          frozenset({'w001', 'mm9-500bp-upstream-7specie...   \n",
       "\n",
       "                                                                                \\\n",
       "                                                                   TargetGenes   \n",
       "TF     MotifID                                                                   \n",
       "Acaa1b transfac_pro__M01543  [('Col7a1', 1.0), ('Lmna', 1.0), ('Crh', 1.0),...   \n",
       "       transfac_pro__M04671  [('Col7a1', 1.0), ('Lmna', 1.0), ('Crh', 1.0),...   \n",
       "Ahr    cisbp__M6139          [('Smad3', 1.0), ('Usp28', 1.0), ('Zbtb25', 1....   \n",
       "\n",
       "                                       \n",
       "                            RankAtMax  \n",
       "TF     MotifID                         \n",
       "Acaa1b transfac_pro__M01543      1459  \n",
       "       transfac_pro__M04671      1407  \n",
       "Ahr    cisbp__M6139               152  "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py_df.sort_values(by=[('Enrichment', 'NES')], ascending=False).sort_index(level=0).head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "py_df.columns = py_df.columns.droplevel(0)\n",
    "py_df = py_df.reset_index()\n",
    "DB_MAP = {\n",
    "    'mm9-500bp-upstream-7species.mc8nr': '500bp',\n",
    "    'mm9-tss-centered-10kb-7species.mc8nr': '10kbp'\n",
    "}\n",
    "def getdb(s):\n",
    "    for elem in eval(s):\n",
    "        if elem in DB_MAP:\n",
    "            return DB_MAP[elem]\n",
    "    raise ValueError\n",
    "def getmodule(s):\n",
    "    for elem in eval(s):\n",
    "        if elem not in DB_MAP:\n",
    "            return elem\n",
    "    raise ValueError\n",
    "py_df['DbId'] = py_df['Context'].apply(getdb)\n",
    "py_df['ModuleType'] = py_df['Context'].apply(getmodule)\n",
    "py_df = py_df[COLUMNS]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DbId</th>\n",
       "      <th>ModuleType</th>\n",
       "      <th>MotifID</th>\n",
       "      <th>TF</th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50</td>\n",
       "      <td>transfac_pro__M01543</td>\n",
       "      <td>Acaa1b</td>\n",
       "      <td>0.074932</td>\n",
       "      <td>4.391225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50</td>\n",
       "      <td>transfac_pro__M04671</td>\n",
       "      <td>Acaa1b</td>\n",
       "      <td>0.073303</td>\n",
       "      <td>4.283264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50</td>\n",
       "      <td>hdpi__ANXA11</td>\n",
       "      <td>Anxa11</td>\n",
       "      <td>0.047817</td>\n",
       "      <td>3.146169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    DbId ModuleType               MotifID      TF       AUC       NES\n",
       "0  500bp      top50  transfac_pro__M01543  Acaa1b  0.074932  4.391225\n",
       "1  500bp      top50  transfac_pro__M04671  Acaa1b  0.073303  4.283264\n",
       "2  500bp      top50          hdpi__ANXA11  Anxa11  0.047817  3.146169"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "COMMON=['TF', 'MotifID', 'DbId', 'ModuleType']\n",
    "c_df = pd.merge(r_df, py_df, left_on=COMMON, right_on=COMMON, suffixes=['_R', '_python'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparison of AUC values in a scatter plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'AUC R versus python')"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1246d7080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "c_df.plot.scatter(x='AUC_R', y='AUC_python', grid=True, ax=ax)\n",
    "plt.xlim([0, 0.16])\n",
    "plt.ylim([0, 0.16])\n",
    "import matplotlib.pyplot as plt\n",
    "plt.plot([0, 0.16], [0, 0.16], 'k-')\n",
    "plt.title('AUC R versus python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'AUC$_R$/AUC$_{python}$')"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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C/neSH2ir3wL8JLAduDHJ1qr6xDgORJKklWTeAK+q+4H72/xXk9wJHLuHTc4ALq2qbwKfTbINOKmt21ZVdwMkubS1NcAlSVqkhZyBf1uS1cAzgOuB5wCvSnIOcBPDs/SHGIb7dSObbec7gX/vTvVnzfEaG4GNAFNTUwwGg8V0sUszMzMr4jiXQy9juWnt7KS7sEdTh+//fezhz7mX92MPHMtdLTjAk3wP8FfAr1TVV5K8DXgdUO3nhcArgMyxeTH39+21S6FqC7AFYN26dTU9Pb3QLnZrMBiwEo5zOfQyli/bfPmku7BHm9bOcuFti/p8v+zuOXt60l2YVy/vxx44lrta0G9okkMYhvefVdVfA1TVF0fW/zHw/ra4HThuZPNVwH1tfnd1SZK0CAu5Cz3A24E7q+qNI/VjRpq9CLi9zW8FzkpyWJLjgTXADcCNwJokxyc5lOGNblvHcxiSJK0sCzkDfw7wUuC2JLe02m8DL0lyIsPL4PcAvwBQVXckuYzhzWmzwHlV9QhAklcBVwIHARdX1R1jPBZJklaMhdyFfi1zf699xR62uQC4YI76FXvaTpIkLYxPYpMkqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDBrgkSR0ywCVJ6pABLklShwxwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDBrgkSR0ywCVJ6pABLklShwxwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSerQvAGe5Lgk1yS5M8kdSX651R+X5Kokd7WfR7V6krw5ybYktyZ55si+NrT2dyXZsHSHJUnSgW0hZ+CzwKaq+kHgZOC8JCcAm4Grq2oNcHVbBjgNWNOmjcDbYBj4wGuAZwEnAa/ZEfqSJGlx5g3wqrq/qj7a5r8K3AkcC5wBXNKaXQKc2ebPAN5VQ9cBRyY5BjgVuKqqHqyqh4CrgPVjPRpJklaIRX0HnmQ18AzgemCqqu6HYcgDT2zNjgXuHdlse6vtri5Jkhbp4IU2TPI9wF8Bv1JVX0my26Zz1GoP9Z1fZyPDS+9MTU0xGAwW2sVuzczMrIjjXA69jOWmtbOT7sIeTR2+//exhz/nXt6PPXAsd7WgAE9yCMPw/rOq+utW/mKSY6rq/naJ/IFW3w4cN7L5KuC+Vp/eqT7Y+bWqaguwBWDdunU1PT29c5MDzmAwYCUc53LoZSxftvnySXdhjzatneXC2xb8+X4i7jl7etJdmFcv78ceOJa7Wshd6AHeDtxZVW8cWbUV2HEn+QbgfSP1c9rd6CcDD7dL7FcCpyQ5qt28dkqrSZKkRVrIR+znAC8FbktyS6v9NvAG4LIk5wKfA17c1l0BnA5sA74OvBygqh5M8jrgxtbu/Kp6cCxHIUnSCjNvgFfVtcz9/TXA8+doX8B5u9nXxcDFi+mgJEnalU9ikySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDBrgkSR0ywCVJ6pABLklShwxwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDBrgkSR0ywCVJ6tC8AZ7k4iQPJLl9pPbaJJ9PckubTh9Z9+ok25J8KsmpI/X1rbYtyebxH4okSSvHQs7A3wmsn6N+UVWd2KYrAJKcAJwFPLVt89YkByU5CHgLcBpwAvCS1laSJO2Fg+drUFUfTrJ6gfs7A7i0qr4JfDbJNuCktm5bVd0NkOTS1vYTi+6xJEnap+/AX5Xk1naJ/ahWOxa4d6TN9lbbXV2SJO2Fec/Ad+NtwOuAaj8vBF4BZI62xdwfFGquHSfZCGwEmJqaYjAY7GUX+zEzM7MijnM59DKWm9bOTroLezR1+P7fxx7+nHt5P/bAsdzVXgV4VX1xx3ySPwbe3xa3A8eNNF0F3Nfmd1ffed9bgC0A69atq+np6b3pYlcGgwEr4TiXQy9j+bLNl0+6C3u0ae0sF962t5/vl8c9Z09Pugvz6uX92APHcld7dQk9yTEjiy8CdtyhvhU4K8lhSY4H1gA3ADcCa5Icn+RQhje6bd37bkuStLLN+xE7ybuBaeDoJNuB1wDTSU5keBn8HuAXAKrqjiSXMbw5bRY4r6oeaft5FXAlcBBwcVXdMfajkSRphVjIXegvmaP89j20vwC4YI76FcAVi+qdJEmak09ikySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDB0+6A9K4rd58+aS7IElLzjNwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHfK/E5XUpR7+29h3rj9i0l3QAcwzcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1KF5AzzJxUkeSHL7SO1xSa5Kclf7eVSrJ8mbk2xLcmuSZ45ss6G1vyvJhqU5HEmSVoaFnIG/E1i/U20zcHVVrQGubssApwFr2rQReBsMAx94DfAs4CTgNTtCX5IkLd68AV5VHwYe3Kl8BnBJm78EOHOk/q4aug44MskxwKnAVVX1YFU9BFzFrh8KJEnSAu3td+BTVXU/QPv5xFY/Frh3pN32VttdXZIk7YVx/3eimaNWe6jvuoNkI8PL70xNTTEYDMbWuf3VzMzMijjO5TAzM8OmtY9MuhvdmzocNq2dnXQ3uufv9vg4lrva2wD/YpJjqur+don8gVbfDhw30m4VcF+rT+9UH8y146raAmwBWLduXU1PT8/V7IAyGAxYCce5HAaDARde+7VJd6N7m9bOcuFt4/58v/K8c/0R/m6PiX9P7mpvL6FvBXbcSb4BeN9I/Zx2N/rJwMPtEvuVwClJjmo3r53SapIkaS/M+xE7ybsZnj0fnWQ7w7vJ3wBcluRc4HPAi1vzK4DTgW3A14GXA1TVg0leB9zY2p1fVTvfGCdJkhZo3gCvqpfsZtXz52hbwHm72c/FwMWL6p0kSZqTT2KTJKlDBrgkSR0ywCVJ6pABLklShwxwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDBrgkSR0ywCVJ6pABLklShwxwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUMGuCRJHTLAJUnq0D4FeJJ7ktyW5JYkN7Xa45JcleSu9vOoVk+SNyfZluTWJM8cxwFIkrQSjeMM/LlVdWJVrWvLm4Grq2oNcHVbBjgNWNOmjcDbxvDakiStSEtxCf0M4JI2fwlw5kj9XTV0HXBkkmOW4PUlSTrg7WuAF/DBJDcn2dhqU1V1P0D7+cRWPxa4d2Tb7a0mSZIW6eB93P45VXVfkicCVyX55B7aZo5a7dJo+EFgI8DU1BSDwWAfu7j/m5mZWRHHuRxmZmbYtPaRSXeje1OHw6a1s5PuRvf83R4fx3JX+xTgVXVf+/lAkvcCJwFfTHJMVd3fLpE/0JpvB44b2XwVcN8c+9wCbAFYt25dTU9P70sXuzAYDFgJx7kcBoMBF177tUl3o3ub1s5y4W37+vle71x/hL/bY+Lfk7va60voSY5I8ugd88ApwO3AVmBDa7YBeF+b3wqc0+5GPxl4eMeldkmStDj78hF7Cnhvkh37+fOq+tskNwKXJTkX+Bzw4tb+CuB0YBvwdeDl+/DakiStaHsd4FV1N/D0Oer/BDx/jnoB5+3t60mSpO/wSWySJHXIAJckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjrko5a0aKs3Xz7pLuzW8PGfvq0lHfg8A5ckqUOeqkjSErnt8w/zsv34itU9b3jBpLugfeAZuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR1yACXJKlDBrgkSR0ywCVJ6pABLklShwxwSZI6ZIBLktQhA1ySpA4Z4JIkdcgAlySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOnTwpDugf2315ssn3QVJUgcMcElaoXo4YbjnDS+YdBf2W15ClySpQwa4JEkdMsAlSeqQAS5JUocMcEmSOmSAS5LUIQNckqQOGeCSJHXIAJckqUM+iU2StN/a8bS4TWtnedl++uS4ST0tzjNwSZI6tOLOwPfHZ//uz58sJUn7p2U/A0+yPsmnkmxLsnm5X1+SpAPBsgZ4koOAtwCnAScAL0lywnL2QZKkA8Fyn4GfBGyrqrur6p+BS4EzlrkPkiR1b7kD/Fjg3pHl7a0mSZIWIVW1fC+WvBg4tape2ZZfCpxUVf9lpM1GYGNb/LfAp5atg5NzNPClSXfiAOFYjofjOB6O4/ispLF8clU9Yb5Gy30X+nbguJHlVcB9ow2qaguwZTk7NWlJbqqqdZPux4HAsRwPx3E8HMfxcSx3tdyX0G8E1iQ5PsmhwFnA1mXugyRJ3VvWM/Cqmk3yKuBK4CDg4qq6Yzn7IEnSgWDZH+RSVVcAVyz36+7nVtRXBkvMsRwPx3E8HMfxcSx3sqw3sUmSpPHwWeiSJHXIAF8C8z0uNsmTk1yd5NYkgySrRtb9fpLb2/RzI/UkuSDJp5PcmeSXlut4JmWJxvH5ST6a5JYk1yZ5ynIdz6QkuTjJA0lu3836JHlzG+dbkzxzZN2GJHe1acNI/YeT3Na2eXOSLMexTNK4xzHJdye5PMknk9yR5A3LdSyTthTvyZH1W3e33wNOVTmNcWJ4c95ngO8DDgU+DpywU5u/ADa0+ecBf9rmXwBcxfDehCOAm4DHtHUvB94FfFdbfuKkj7XTcfw08INt/j8D75z0sS7DWP4Y8Ezg9t2sPx34ABDgZOD6Vn8ccHf7eVSbP6qtuwF4dtvmA8Bpkz7O3sYR+G7gua3NocD/XQnjuFTvybb+p4E/391+D7TJM/DxW8jjYk8Arm7z14ysPwH4P1U1W1VfYxha69u6/wScX1XfAqiqB5bwGPYHSzWOBTymzT+WnZ5DcCCqqg8DD+6hyRnAu2roOuDIJMcApwJXVdWDVfUQww9F69u6x1TV39fwb813AWcu8WFM3LjHsaq+XlXXtH3/M/BRhs/GOOCNeywBknwP8GvA65e29/sPA3z8FvK42I8DP9PmXwQ8OsnjW/20dmntaOC5fOfBN98P/FySm5J8IMmaJTuC/cNSjeMrgSuSbAdeCqyYy5Z7sLux3lN9+xz1lW6x4/htSY4EforvfCBd6fZmLF8HXAh8fTk6uD8wwMdvru8Cd77V/9eBH0/yMeDHgc8Ds1X1QYb/xO4jwLuBvwdm2zaHAd+o4ZOI/hi4eAn6vj9ZqnH8VeD0qloFvAN44xL0vTe7G+vF1le6vRqvJAczfJ++uaruXqK+9WZRY5nkROApVfXepe3W/sUAH7+FPC72vqr66ap6BvA7rfZw+3lBVZ1YVT/J8M1618h+/6rNvxf4oaU7hP3C2McxyROAp1fV9W0X7wF+ZImPowe7G+s91VfNUV/pFjuOO2wB7qqqNy15D/ux2LF8NvDDSe4BrgV+IMlgWXo6QQb4+M37uNgkRyfZMfavpp1NJzmoXQImyQ8xDOnVMKiYAAABQElEQVQPtnZ/w/BGLRiebX56SY9i8pZiHB8CHpvkB9o2PwncueRHsv/bCpzT7vw9GXi4qu5n+MTEU5IcleQo4BTgyrbuq0lObnefnwO8b2K9338sahwBkrye4b0YvzKpTu+nFvuefFtVPamqVgM/Cny6qqYn1fllM+m76A7EieEdlJ9meBf177Ta+cAL2/zPMjyz/jTwJ8Bhrf4o4BNtug44cWSfRwKXA7cxvCT89EkfZ6fj+KI2hh8HBsD3Tfo4l2Ec3w3cD/wLwzOYc4FfBH6xrQ/wljbOtwHrRrZ9BbCtTS8fqa8Dbm/b/BHtoVAH8jTucWR49lgMP0Te0qZXTvo4exzLnfa9mhVyF7pPYpMkqUNeQpckqUMGuCRJHTLAJUnqkAEuSVKHDHBJkjpkgEuS1CEDXJKkDhngkiR16P8DtLbS5ihc2ygAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x126c25160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "(c_df['AUC_R']/c_df['AUC_python']).hist()\n",
    "plt.title('AUC$_R$/AUC$_{python}$')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    11558.000000\n",
       "mean         0.999998\n",
       "std          0.001224\n",
       "min          0.995089\n",
       "25%          0.999365\n",
       "50%          0.999994\n",
       "75%          1.000633\n",
       "max          1.004945\n",
       "dtype: float64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(c_df['AUC_R']/c_df['AUC_python']).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import log10, floor\n",
    "def round_sig(x, sig=2):\n",
    "    return round(x, sig-int(floor(log10(abs(x))))-1)\n",
    "\n",
    "from functools import partial\n",
    "c_df['AUC_python_rounded'] = list(map(partial(round_sig, sig=3), c_df['AUC_python']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DbId</th>\n",
       "      <th>ModuleType</th>\n",
       "      <th>MotifID</th>\n",
       "      <th>TF</th>\n",
       "      <th>AUC_R</th>\n",
       "      <th>NES_R</th>\n",
       "      <th>AUC_python</th>\n",
       "      <th>NES_python</th>\n",
       "      <th>AUC_python_rounded</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [DbId, ModuleType, MotifID, TF, AUC_R, NES_R, AUC_python, NES_python, AUC_python_rounded]\n",
       "Index: []"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c_df[abs(c_df['AUC_R']-c_df['AUC_python_rounded']) > 0.000000001]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparison of NES values in a scatter plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'NES R versus python')"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6ifj4eNxuNytXrqR169ZOj1QtKeoiIuKoH374gY4dO2KtJTExkVatWjk9UrUV4PQAIiJSc23cuJH27dsTEBDAqlWrFPTTpKiLiIgj1q9fT4cOHQgLC2PVqlW0aNHC6ZGqPUVdRESq3Nq1a+nYsSO1a9fms88+47zzznN6JL+gqIuISJVavXo1N9xwA/Xr1+ezzz6jadOmTo/kNxR1ERGpMomJiXTt2pUzzzyTVatW0bhxY6dH8iuKuoiIVImPP/6YG2+8kSZNmpCYmEjDhg2dHsnvKOoiIlLh0rLdbNydQVq2G4APP/yQHj16cN5555GYmMgZZ5zh8IT+SZ9TFxGRCrVww16enruJ4IAA8ouK6F3vN6Y8/Scuuugili9fTkxMjNMj+i1FXUREKkxatpun524iN7+IXIrI2bqaSR9Moc1lbVjx8UdER0c7PaJf0+53ERGpMHvSDxMc4ElLzpZEUhc9T0TDFkx9e7aCXgW0pS4iIhWmUd1w8ouKyP7+E9I+fInQxhfRcMAYWjR2OT1ajaAtdRERqTAxUaF0Mt+T9uFLRJ5zKY0HPsPfBl5JTFSo06PVCNpSFxGR07YtKYsNuzPY/PEs/jn+aTp17srEV97i3AZ1FfQqpKiLiMhpGb3ge95Zs4uDX88nfeV/aH5FBxYvWkBoqGJe1bT7XURETtm2pCzeWbOLzK9mkb7yP0Scfy251z3K7ow8p0erkRR1ERE5Zd/tSidj9ftkfPYOES2vp37PpzCBQWzYneH0aDWSdr+LiMgpsdaycvrLZH7xPpGtOhHT7a+YgEAAWp+lj685QVEXEZFys9by1FNP8drUF7iscx9SW9+FMZ6dv3dd3ZhmrloOT1gzKeoiIlIu1loeffRRXn75Zf7yl7/wj3/8g+3J2WzYnUHrs6IVdAcp6iIiUmZFRUU89NBDTJs2jSeeeIIpU6ZgjKGZq5Zi7gN0oJyIiJRJYWEh9913H9OmTWPYsGHeoIvvqNSoG2PeNMYkG2M2H/WzesaYj40x/y3+37qVOYOIiJy+goIC7r77bt566y2eeeYZJk6cqKD7oMreUv8/oOvvfjYU+MRaex7wSfH3IiLiowoKCrjtttuYPn06kyZNYsyYMQq6j6rU99SttZ8ZY87+3Y97Ae2Lv34bSASersw5RETk1LjdbsaOHcvq1at54YUXePzxx50eSU7AiQPlXNba3wCstb8ZY+IcmEFERE4iNzeXPn36sHr1au+R7uLbfProd2PMA8ADAC6Xi8TERGcH8kHZ2dl6XRyg190Zet2rTm5uLqNGjWLdunU8/PDDtGrVSq99NeBE1JOMMQ2Kt9IbAMnHW2itfR14HaBt27a2ffv2VTRi9ZGYmIhel6qn190Zet2rRk5ODj169GD9+vW8+eabNG3aVK97NeHER9oWAXcXf303sNCBGURE5BgOHjxI165dWbVqFe+++y6DBg1yeiQph0rdUjfGzMBzUFx9Y8weYAzwLDDLGHMvsAvoW5kziIhI2WRkZNCtWzfWrVtHQkICffvqP8/VTWUf/T7wODd1rMznFRGR8jlw4ACdO3dm06ZNzJ49m5tvvtnpkeQU6IxyIiI1WFq2m5UbtnF9+w5s3ryZ+fPnK+jVmE8f/S4iIpVn4Ya9PPF2InumjyAv/TfG/OMtbrrpJqfHktOgLXURkRooLdvN4299ys53hpKXsZ+4Ps8wY19d0rLdTo8mp0FRFxGpYdKy3cxK/I497z5NYXYacf3GEdbkYoIDAtiTftjp8eQ0aPe7iEgNsnDDXga/sZw904dRcDgbV7/xhDZsAUB+URGN6oY7PKGcDkVdRKSGSMt2M/jfy9j17jBs/mFcAyYSekYzIkMDKSyyPN/7YmKiQp0eU06Doi4iUkN8/s1Gdr8zBFtYgGvgJELiziEyJJCxPS6kQ4s4Bd0PKOoiIjXA5s2beaB/D6y1uAZOJiS2CQCF1irofkQHyomI+LG0bDczl33O9de3Jzg4iH+8t4DaZzalVmgQYcEB2uXuZ7SlLiLipxZu2MujL89hz/sjMSHhTHptJg/2vJb+ndzsST9Mo7rhCrqfUdRFRPzMtqQsVm9LZdS/57N3xigCwmvhGjiJF7/Jok+8m5ioUMXcTynqIiJ+ZMicjcxat4fc3ZtJnjOWwMhoXAMmEVQ71vs5dAXdf+k9dRERP/H6qu2eoO/cRPLsMQRGxeAa+CxBtWMBfQ69JtCWuoiIH0jLdvP8R1s5vONbUuZNICj6DFwDJhIYWZfQoACMQQfF1QCKuoiIH9iTfhj3L+tInjuB4JizcPWfQGBEHQBe6HsxV59bX0GvARR1EZFqLC3bcyT7Fys+ZM/sCYTENSWu3zgCw2sB0K9tI7pf0tDhKaWqKOoiItXUwg17eXruJg79uJrd856lYfNWhPcYRXBYJHmFRQzp0oIHrj/X6TGlCinqIiLV0LakLJ6avZEDmz4lbcmLhDZsQUTP0Xz4RGdy8gr1GfQaSlEXEalmFm7Yy1NzNnHgu+WkLf0HoY0vIq73aELDo8jJK+SSs6KdHlEcoqiLiFQjadlunp67ibR1Szjw0T8JO/tSYm8dQUBwmD6yJoq6iEh1kZbtZuXWZDK/WcSBj/5F+LmXE3vzMExQCCGBRh9ZE0VdRKQ6KDkoLmPtPJI+foPw5lcT23MIJjCYkKAAPvzrtTRz1XJ6THGYoi4i4uO2JWXx1JxNpHyeQMZn7xDRoh31uz9BVHgohdbyfO+LFXQBFHUREZ+2cMNenpy1gZTPppP5xQwiL+xAzI2PERUewtgeF+pa6FKKoi4i4qO2JWXx5OyNJK/8Pw6umUPkRZ2I6fpXTEAghUVWQZf/oaiLiPig6Wt2Mnrh96SseIOsdQuJat2Nep3/jDEBhAQF6KA4OSZFXUTEx0xfs5Ph8zeRvmIaWd8uoVabHtTt+ADGGEICjQ6Kk+NS1EVEfEhatptnPtjMgY/+SfbGj6h9xa1Etx/kCXpQAH/ro4Pi5PgUdRERH7IzNZvUJS+RvXEFta/uT3S7OzDGEBSAttDlpBR1EREfUVBQwKSnHyZj4wrqXHs70X8Y6L1tbM9WCrqclKIuIuID8vPzue2225g7Zw53PTKMtbXbERhgyC+0jOnRktuvbOL0iFINKOoiIg5zu93079+fhQsX8ve//53Bgwd7r5Ouq61JeSjqIiIOSMt288O+TNxuN88/+QArli/jlVde4eGHHwYgJipUMZdyU9RFRKrYwg17eXL2Rty5h0mZO4HcnRt5eNRz3qCLnKoApwcQEalJ0rLdnqAfPkTynLHk7tpEzI2P8XFRK9Ky3U6PJ9Wcoi4iUoW+2p6G+1AOybPG4N79g+fCLBd1xBjDnvTDTo8n1Zx2v4uIVJGFG/Yy+J3VJM0cQ17SNur3HEJki2sBKCyyNKob7vCEUt0p6iIilWxbUhart6Uwfs5a9s4YRV7KTmJvHkbEeVd51zzT80IdGCenTVEXEalEoxd8zztrdlGYk0HSzJHkH9hL3K0jCT+3LQCBATCuZyt9Dl0qhKIuIlJJ1u1I4501uyjIPkBywkgKMpOI6zOG8LNbA3guzvJIO50pTiqMoi4iUgk8l07dTEFWKkkJIyjMSiOu7zOENb6I0MAATAA831sXZ5GKpaiLiFSw6Wt2MmLBZgoOJpM0YwSFhzKI6zeOsEYtAXih3yVcfW6M3kOXCqeoi4hUoLRsN2MXbyE/Yz9JM4ZT5M7B1X8CoWeeD8BdVzem+yVnOjyl+CtFXUSkAu1JP4zN2EfS+0Ox+W5cAyYSekYzAg3MfOAq2jaNcXpE8WOKuohIBUnLdrNx82Z2vD0EW1SIa+AkQuKaAjCuVysFXSqdoi4icprSst288fkv/HPeSvbNGAFAw9snU6tBU106VaqUoi4ichqmr9nJ6EU/cPi3bSTNHIUJDMI1YBLhcY157fY2XHhmbR0QJ1VGURcROUUlR7m7f/uZ5JmjMKERuAZMIrhuA4ICDXXCgxV0qVKKuojIKdiWlMWYRZvJ3fMjybPHEBheC9fAyQTViQMgv1Dncpeqp6u0iYiU08INe7nx5dVk79xM8uzRBEZG47rtOW/QAcb0aKmtdKly2lIXESmHbUlZPDV7I5nbvyNl3ngCa8XiGjiJoKh6AAQYGN9L53IXZyjqIiJl9Pqq7Ty3bCvZ29eTMn8iQdENcA2YQGBkXQID4IF253Bfu3O0hS6OUdRFRMpg0Jtfs/LnFA5tW0vKgskExzTG1X88gRF1CAkK4MO/XqvzuIvjFHURkZPo9mIiPyblcOinL0lZ9BwhrnOI6zeewLAoggMNf+ujC7OIb1DURUROYNCbX/NjUg45P35G6gd/I7RBc+L6jSUgNBKAF/u11rncxWco6iIix/Hi8p9Y+XMK2Zs/Je3Dlwht1JK43qMJCI0APB8fuvpcnfpVfIeiLiJyDNNWbWfqp9vI3rSctKUvE9bkImJvHU1ASJh3zUsDWuugOPEpirqIyO+8vmo7k5duJeu7Dzmw/FXCmrYh9pbhBAR7At40Jpw5f/6Dgi4+R1EXETnK66u2M2npVg6uW0j6J/8mvNkVxPYahgkKBiC+eSxv/vEKh6cUOTZFXUSk2LTiLfTMtXPJSHyLiObXUL/nU5hAT9AfjW/G4M7nOzylyPEp6iIieC7OMnnpVjK+TCDz8/eIuOA66t/0OCbQ85/J4d1a8MD15zo8pciJKeoiUuOt25HGqAXfk/H5dDK/TCDywg7E3PgYJiAQgOE3tuCB6xR08X2KuojUaKMXfM/bX+0kY9XbHFw7h6iLO1Ovy8NHgt5NQZfqQ1EXkRpr3Y403v5qJ+mfvkHWuoVEXXoj9W74E8Z4LmCpXe5S3SjqIlIjTVy8hX9/vp0DH08j+7sl1GrTk7od78cYQ6CBcb1acftVutKaVC+KuojUOO2eXcGu9MMcWPYK2ZuWU/vK3kRffw/GGABmPnAVbZvqTHFS/SjqIlJjpGW7GfTWWnYdOETa0qnkbP6UOtcMoM61t3uDftfVjRV0qbYUdRGpERZu2MvghA0UFhWSuvgFDv34GXXa3UH0NQMAMMDsB7WFLtWboi4ifm9bUhZPzNxAYWE+qYumcOjnL4lufw91ruzjXXPftU0VdKn2FHUR8WvT1+xkxILN2IJ8UhZO5vC2r6kbfz+1L+/lXXNW3VBGdG/p4JQiFUNRFxG/NWr+Jt5du5uifDcp8yeRu2M99To/RK1Lb/Suufbcerx3/9UOTilScRR1EfFLHV9YyfaUQxTl5ZIybzy5OzdRr+sj1LqkM+C5FvpQfQ5d/IyiLiJ+55Mt+z1Bdx8iee443Hu2EHPTYKJaxQMQYGD5Y9fRzFXL4UlFKpaiLiJ+Z+yiHyhy55A8+xnc+36ifvcniGx5vff2oV1bKOjilxR1EfErExdvYcf+VJJnjSIv6Rfq93qayPP/4L291yUNtMtd/JaiLiJ+IS3bzV/eX8/qzb+SPGs0eak7ib1lOBHNrvSu0fXQxd8p6iJS7U1btZ1nl22lIDuDpJkjKUjfR9ytowg/p413jYIuNYGiLiLV2iPvr2fRpv0UZB8gOWEEBZnJxPYeTfjZrb1rel3SQEGXGkFRF5Fq68XlP3mCfjCVpIThFGYfIK7vM4Q1vsi75v5rm+rEMlJjKOoiUi29vmo7Uz/dRkFmsifohw4S1288YY0u8K7pemGcgi41iqIuItXO9DU7mbR0K/npv5GUMBzrPoRrwARCGzT3runVugFTB1zm4JQiVU9RF5FqJS3bzcgFm8k/sJekGcOxBXm4Bk4ixOX5mNp5sZG8dkcbfQ5daqQAp57YGDPYGPODMWazMWaGMSbMqVlEpHooLLIkfL0Ld+oukt4fii0qwHXbZG/QARIevFpBlxrLkagbYxoCjwBtrbWtgEBggBOziEj1sHDDXn787SAT3/uIpBnDAHANnExI7NneNY/GNyMmKtShCUWc59iWOp5d/+HGmCAgAtjn4Cwi4sO2JWXx5OwN7NqxnaQZwzEBQbhue5aQ+o29a9o0rqOPrUmN58h76tbavcaYvwG7gMPAcmvtcidmERHftnDDXp6as4ns3T/xytzRmJBIXAMnERx9BgCBBv4a34zHblDQRYy1tuqf1Jiv7flZAAAgAElEQVS6wFygP5ABzAbmWGvf+926B4AHAFwuV5uEhISqHtXnZWdnExUV5fQYNY5e96pRWGTZuj+LbT/9yGvPjyW6Tm3+PGw89erHAWCM4by4KEKDnNzp6P/0990ZHTp0WG+tbVue+zh19HsnYIe1NgXAGDMPuAYoFXVr7evA6wBt27a17du3r+IxfV9iYiJ6XaqeXveqMWbhZqYtXkvynLEE1orhoeFjeXPfGfAbBAcaXuh7CV1aN3R6TL+nv+/Vh1NR3wVcZYyJwLP7vSOwzqFZRMQHPTLjW2YuXErK3PEE1XERN2ACdWNqE5xkeLHfJVx9bn0dFCfyO069p77WGDMH+BYoAL6jeItcROT1VduZOe8DkudPJLheQ1z9JxAYGQ0U8Ej8eXS/RFvnIsfi2MlnrLVjgDFOPb+I+J5tSVms3pbK6JffJnnBZELqNyGu/3gCw2sDYICBVzY+8YOI1GA6o5yI+ITRC77nnTW7yPnpC1IXPU+I61xc/cYREHbkAK0z6oRpl7vICSjqIuK4bUlZnqBvWUXq4hcIPfN84vqOJSA0wrum1yUNqB910MEpRXyfPgciIo5Jy3bz2c/JJHyzm+zvP/EEvVFL4vqNIyA0gpAACAqA4d1aMHWgLs4icjJl3lI3xvwBeAZoUnw/A1hr7TmVM5qI+LOFG/by5OyN5BdasjZ+xIFlrxDW5BJie48kINhzKYi/92+to9xFyqE8u9//AwwG1gOFlTOOiNQEadluhszZ5An6t0s48PFrhJ3ThrhbRmCCQgC46+rGOspdpJzKE/VMa+3SSptERGqM55dtxV1QxMFvFpL+6b8Jb3Ylsb2GEhYawoPXn0vPS87UldZETkF5or7SGDMFmAe4S35orf22wqcSEb/Vf9qXrN2RTuaaOWSs+j8iml9D/Z5PYQKDKSyy3H3N2drdLnKKyhP1K4v/9+jz0FogvuLGERF/9t6XO1i7I52ML2aQuXo6ERdcT/3uj2MCAgHodIFLQRc5DWWOurW2Q2UOIiL+7Ya/r+TnpBwyP3+PzK9mEtmqIzHdHvEGHeC+dk0dnFCk+ivP0e918JwB7rriH60CxllrMytjMBHxD2nZbjpMWUlmbgEZiW9x8Ot5RF3cmXpd/4IxRz5V265ZDG2bxjg4qUj1V57d728Cm4F+xd/fCbwF3FrRQ4mIf1i4YS+PJmzAWkv6J/8ma/0ioi69iXo3POgNemxkMK/d0UZBF6kA5Yn6udba3kd9P9YYs6GiBxIR/5CW7S4OehEHlr9G9oal1Grbi7rx92GMASAQWDb4er2PLlJBynNGucPGmGtLvik+Gc3hih9JRPzBQ++txxYVkrb0ZbI3LKX2VX1KBR3gxQGtFXSRClSeLfU/Ae8Uv7dugAPAPZUxlIhUb4Pe/Jo1v6SS9uFL5PywkjrXDKTOtbd5g147NJCVT3VQ0EUqWHmOft8IXGKMqV38va6sICL/o9tLiWzZm0nq4hc4tPVzotvdSZ1r+ntvj29enzf/eOUJHkFETlV5jn4PBXoDZwNBJb9xW2vHVcpkIlLt9P/XF2zZm0HKouc5/PNXRLf/I3WuLH0s7ZR+rR2aTsT/lWf3+0IgE8+5390nWSsiNUz831ayfX8GKQsmc3j7N9Tt+AC12/b03m6AqXoPXaRSlSfqjay1XSttEhGplrYlZdH7tdWkZx0mZf5Ecnd8S70uD1OrdTfvmraNo5l2V1sFXaSSlSfqXxpjLrLWfl9p04hItTJ6wfe8s2YXRXm5pMwbR+7O74np9ghRF3f2rrngjEjmPPQHB6cUqTlOGnVjzPd4zvEeBAwyxvyCZ/d7yfXUL67cEUXEF21LyvIE3X2I5Dljce/9kZjujxN14ZEzSl95djQz/6Sgi1SVsmypd6/0KUSkWknLdvPcsq0UuXNInjUG928/U7/Hk0RecJ13zTn1IxR0kSp20qhba3cCGGPetdbeefRtxph38ZwuVkRqiOlrdjJiwWYKD2eRPGs0eck7iL15KBHNr/GuObNOKJ8+qWtAiVS18rynfuHR3xhjAoE2FTuOiPiyF5f/xNRPt1F4KJOkmaPIT9tF7C3DiWh2hXdN3zZnMqXvpQ5OKVJzleU99WHAcCDcGFNywhkD5AGvV+JsIuJDhszZyKx1eyjMSScpYSQFGb8Rd+sows858rt9v7YNeb6PPocu4pSy7H6fDEw2xky21g6rgplExMes25HGrHV7KMhKIylhBIVZKcT2GUN4k0u8a17qdzE3X3aWg1OKSHl2vzc3xtwILLPWFlXWQCLiW0bO/5731u6i4GAKSQnDKczJIK7vWMLOauVd0zwuUkEX8QHlifprwCDgZWPMbOD/rLVbK2csEfEFV0xcTnJWPgWZSSTNGE7h4Sxc/cYR2vAC75p6EUEsf7y9c0OKiFeZL71qrV1hrb0duAz4FfjYGPOlMWaQMSa4sgYUEWe89+UOkrPyyU//jf3vD6UoNxvXgImlgn7HFY34dnQXB6cUkaOV53rqGGNi8Fxu9T7gO2Aqnsh/XOGTiYhjpq3azshFW8hP20PS+09j8924Bk4mtMF53jVxtYKZcOslJ3gUEalq5blK2zygBfAu0MNa+1vxTTONMesqYzgRqXq3v/4VX/xygLyUnSTNHAEWXAMnERJ7tndNz4td/OO2ts4NKSLHVJ731F+x1n56rBustfq3W8QP/GHyCvZmuslL/oWkhJGYwCBcAycSHHPkILgO58cq6CI+qrwXdHkcuBbPueBXA69Za3MrZTIRqVK3v/4VezPduPdvI3nmSExwGK4BEwmu19C7pnlcJG8NuuIEjyIiTipP1N8BsoCXi78fiGdXfN+KHkpEqtakxT/wxS8HcO/7iaRZowkIjcQ1cBLB0Wd418RGBOsodxEfV56on2+tPfqomJXGmI0VPZCIVK1+r33J1zvTyd3zA8mznyEwIhrXwIkE1Y7zrgkAvhnd+fgPIiI+oTxHv39njLmq5BtjzJXAFxU/kohUldZjl3mCvmsTybPGEBgVg+u2yaWC3uG8GH559iYHpxSRsirPlvqVwF3GmF3F3zcGfiy53rquqy5SvfR77UsyDhdyeMd3pMybQFAdF64BEwmMqutd82h8MwZ3Pt/BKUWkPMoT9a4nutEYU9dam36a84hIFXhy1ga+3pnO4e3fkDx/EsH1GnqCHlHHu6bnJQ0UdJFqpsxRL7mu+vEYY77FcyIaEfFh7Z5bwe50N4f+u4aUBc8SEtuEuP7jCQyv7V0zvFsLHrj+XAenFJFTUZ4t9ZMxFfhYIlIJOkxZye50NzlbV5P6wRRCXM1w9RtLQFiUd82KwdfRzFXLwSlF5FRVZNRtBT6WiFSwc4YuoQjI2ZJI6uK/E9qwBXF9niEgNMK7ZuItrRR0kWqsIqMuIj4oLdvN1ZNXUARkf/8JaR++RGjji4jrPYqAkHDvuok3t+L2K5s4N6iInDbtfhfxYws37OXRhA0AZG1YxoGP/knY2a2JvXUEAcFh3nXa5S7iH04adWNMBJBvrc0v/v584EZgp7V23lFLO1bOiCJyKtKy3UeC/u1iDnz8L8LPaUvsLcMxQSHedf8Y0FpBF/ETZTn5zDLgbABjTDPgK+Ac4GFjzOSSRdbaA5UxoIicmjYTVgBw8Ov5nqCfdxWxt4zwBt0A60d2omfrhid4FBGpTsqy+72utfa/xV/fDcyw1v7VGBMCrAeGVdp0InJKzh22BIDMNbPJWPU2EedfS/0eT2ICPf/KhwfBjxN0ljgRf1OWLfWjj2qPBz4GsNbmAUWVMZSInJq0bDdnD11CQZEl44sZnqC3vJ76PZ/yBj0qJEBBF/FTZdlS32SM+RuwF2gGLAcwxkRX5mAiUj6vr9rOpKVbsdaS8fm7HPxqFpGtOhHT7a+YgEDvugUPX+vglCJSmcoS9fuBR/G8r97ZWnuo+Octgb9V0lwiUg6D3lrLyp9SPUFf+SYHv5lP1CVdqdflIYw5skOuX9tGOihOxI+VJerB1tpnf/9Da+2Xxpg9lTCTiJTDra+u5ttdmVhrSf/kdbLWf0Cty7pTt9ODGHPkk6a6OIuI/yvLe+qJJV8YYz753W0LKnQaESmXdTvSioNexIHl/yRr/QfUvvyW/wn6xFtaKegiNUBZttSPPqlMvRPcJiJV7M7/rMEWFZK27GVyvl9B7av6En3dXd6g1w0LZMWTHYiJCnV4UhGpCmWJuj3O18f6XkSqSNOhSygqKiRtyYvkbEmkzh9uo84fBnqDXjvU8N0zJ7xisoj4mbJEPc4Y8zierfKSryn+PrbSJhORY0rLdtNmwgpsYQGpH/yNQz+tJvq6u6hzdb9S6zaNvdGhCUXEKWWJ+r+BWsf4GuCNCp9IRI5r+pqdjFiwGVuQT8qi5zj83zXU7XAvta+4pdS6/9zVxqEJRcRJJ426tXZsVQwiIifm/Rx6QR4pCyZzePs31O30ILXb9Ci17nxXJB1bnuHQlCLipLJc0GX0CW621trxFTiPiBxDSdCL8nNJmTeR3F+/o16Xv1Crden3zP9zVxsFXaQGK8vu95xj/CwSuBeIARR1kUo0fc1OT9DzckmeOw73ru+J6fYoURff4F1jgB3P6tSvIjVdWXa/v1DytTGmFp6zyw0CEoAXjnc/ETl925KyGLFgM0XuQyTPeQb33q3EdH+cqAs7eNc0jQln5VPxDk4pIr6iLFvqGGPqAY8DtwNvA5dZa9MrczCRmu7F5T8x9dNtFOVmkzR7DHn7t1G/5xAiWxw5d3t0WKCCLiJeZXlPfQpwK/A6cJG1NrvSpxKp4Xq8/Bnf782i8HAWybNGkZf8K7G9hhLR/GrvGgNs0OfQReQoZTlN7BPAmcBIYJ8x5mDxP1nGmIOVO55IzTPoza89QT+USVLCcPJSdhJ764hSQQ8J0HvoIvK/yvKeelnCLyIVYNB/1rDyv2kUZqeTNHMEBRn7ies9ivCml5Va9/MkBV1E/leZ3lMXkcp37rAlFFooyEolKWEkhVkpxPV5hrAmF5da96u20EXkOBR1ER/QfOgSCoGCg8kkzRhB4aEM4vqNI6zRhaXWKegiciLatS7isAtHf0gekJ+xn/3vD6Pw8EFc/caXCnpUsFHQReSktKUu4qBbXllNTp4lP30fSTNGYPMP4xowkdAzmnnXBACbx+viLCJyctpSF3HI7f9ew3d7MslP203S+0OxBW5cAyeVCnrdiEB+0Ra6iJSRttRFHBA/ZSW/pB0iL+VXkhJGggHXwMmExDbxrunQPIa3/niVg1OKSHWjqItUsYtGLyUrr4i85F9IShiJCQzCNWASwTGNvGsigo2CLiLlpqiLVKGzhy4BwP3bf0meNQoTHI5r4ESC657pXWOALXoPXUROgd5TF6ki3qDv3UpSwghMaCRn3P5sqaCHB+lMcSJy6rSlLlIFzikOeu7uzSTPGUtgZDSuAZMIqh3rXRNk4McJCrqInDptqYtUsrOHLqEIyN25ieTZYwiMisE18NlSQf9D03psm6ygi8jp0Za6SCVqOcqzhX54x7ekzJtAUPQZuAZMJDCyrndNm8Z1mP7g1cd7CBGRMlPURSpJm3EfcSgfDm3/hpT5EwmOOQtX/wkERtTxrrm/XVNG3NTSwSlFxJ8o6iKVoOSguEM/f0nKwucJiWtKXL9xBIbX8q4ZfmMLHrjuXKdGFBE/pKiLVLCSoOf8+DmpH0whpMF5uPqNIyA00rvmzqvOUtBFpMIp6iIVqCTo2T+sJG3Ji4Q2bEFcn2cICI04siYmnPE3X3y8hxAROWWKukgF8QZ908ekLf0HoY0vIq73aAJCwrxr+l7WkCn9Wjs1ooj4OUVdpAKUBD1rw1IOfPRPws6+lNhbRxAQfCTo/do25Pk+CrqIVB5FXeQ0lQT94PoPSF8xjfBzLyf25mGYoBDvmv/c1YaOLc9wakQRqSEUdZHT4A361/NIX/km4c2vJrbnEExgsHdNr9YNFHQRqRKKusgpKgl65lezyPjsHSJatKN+9ycwgUf+tep5SQOmDrjMqRFFpIZxLOrGmGjgDaAVYIE/Wmu/cmoekfL4fm8m1gaS+cX7ZH4xg8gLOxBz42OYgEDvmhWDr6OZq9YJHkVEpGI5ee73qcAya20L4BLgRwdnESmTdTvSOHvoEqy1ZHz2tifoF3VS0EXEJziypW6MqQ1cB9wDYK3NA/KcmEWkrPpP+5K1O9Kx1jJ/+lscXLOIqNbdqNf5zxhz5Pfjbhe6FHQRcYRTW+rnACnAW8aY74wxbxhjIk92JxGnvLj8p+KgF5G+4l8kLltErTY9qNf5oVJBb3lGJK/d2dbBSUWkJjPW2qp/UmPaAmuAP1hr1xpjpgIHrbWjfrfuAeABAJfL1SYhIaHKZ/V12dnZREVFOT2GXysssmz57SBFRUXMeus1vlz5MT163kynvndjjPGuqxMWTOOYiBM8kpwu/X13hl53Z3To0GG9tbZcWwlOHSi3B9hjrV1b/P0cYOjvF1lrXwdeB2jbtq1t3759lQ1YXSQmJqLXpXKdPXQJtsiQtvSf5Gz+hNpX96dT3wH8ffORj63pPfSqob/vztDrXn04EnVr7X5jzG5jzPnW2p+AjsAWJ2YRORFP0AtJXfJ3Dm1ZRZ1rbyf6DwMxpsC75tdnb3JwQhGRI5z8nPpfgenGmBDgF2CQg7OIlJKW7abNhBXYwgJSP5jCoZ++IPr6e6hzVZ9S6xR0EfEljkXdWrsB0BFF4nOmr9nJiAWbsQX5pCx6jsP/XUPd+PuoffnNpdatH9nJoQlFRI5NZ5QTOcpfp6/ng+/3YwvySJk/icO/rKPeDX+i1mXdS61rGB1OTFSoQ1OKiByboi5SrMXwJeQWQVF+LilzJ5C7cyP1uvyFWq27llo38eZW1Mvd4dCUIiLH5+QZ5UR8RqtRH3qCnneY5Dljyd21iZgbH/ufoK8f2Ynbr2ri0JQiIiemLXWp8f46fT3Z+ZYi9yGSZz+De99W6nd/gsiW15dap4PiRMTXKepSo/V77Uu+3plOUW42SbPGkJe0jfo9hxDZ4tpS6xR0EakOFHWpsVqOWsKhfCg8fJDkmaPIS9lJ7M3DiDjvqlLrFHQRqS4UdamRzhu2hHwLhTkZJM0cSf6BvcTdOpLwc0t/ylJBF5HqRFGXGqfF8OKgZ6eTlDCCgswk4vqMIfzs1qXWKegiUt0o6lKjnD10CQAFWakkJYygMCuNuL7PENb4olLrFHQRqY4UdakxvEE/mEzSjBEUHsogrt84whq1LLVOQReR6kpRlxqhJOj5GftJmjGcIncOrv4TCD3z/FLrFHQRqc4UdfF7bcd9BED+gb0kJYzA5rtxDZhI6BnNSq1T0EWkulPUxa95t9BTd5M0cwS2qBDXwEmExDUttU5BFxF/oKiL3yoJel7KryQljAQDroGTCanfuNQ6BV1E/IXO/S5+yRv0pO0kzRiOCQjgjIHPKugi4tcUdfE7JUF3//azJ+jBobhue47gmEal1inoIuJvtPtd/Io36Ht/JGnWGALDa+EaOJmgOnGl1inoIuKPFHXxGyVBz929meQ5YwmMrItrwCSCatcvtU5BFxF/paiLXygJ+uFfN5AybzyBtWJxDZxEUFS9UusUdBHxZ4q6VHveoP+ynpT5EwmKboBrwAQCI+t61xhgh4IuIn5OUZdqrSToh7atJWXBZIJjGuPqP57AiDreNQHALwq6iNQAOvpdqi1v0H/6kpT5nhPKuAZOKhX0RtFhCrqI1BjaUpdqqSToOT9+RuoHfyO0QXPi+o0lIDTSu6ZpvXBWDol3akQRkSqnLXWpVtKy3d6gZ2/+1BP0Ri2J6zeuVNABBV1EahxtqUu1MW3VdiYv3QpA9qblpC19mbAmFxF762gCQsJKrdVR7iJSEynqUi0Mmb2BWev3ApD13YccWP4qYU3bEHvLcAKCQ73r6oYH8t2Yrk6NKSLiKEVdfN62pCxv0A+uW0j6J/8mvNkVxPYahgkK9q6LiQxi/aguTo0pIuI4RV18XqcXPwMgc+1cMhLfIqL5NdTv+RQm8EjQ4yKD+XpUZ6dGFBHxCYq6+LSSg+Iyvkwg8/P3iLjgOurf9Dgm8Mhf3Q7NY3nrj1c4NaKIiM9Q1MUnLfh2N4/N2oS1lszV08n8MoHICzsQc+NjmIBA77oVg6+jmauWg5OKiPgORV18zmXjlnHgUCHWWjJWvc3BtXOIurgz9bo8XCroL/W7WEEXETmKoi4+5eigp3/6BlnrFhJ16Y3Uu+FPGHPktAr1IoK4+bKzHJxURMT3KOriM84ZuoQiwNoiDnw8jezvllCrTU/qdrwfY4x33VnRoXw+tJNzg4qI+ChFXXzChaOPCvqyV8jetJzaV/Ym+vp7SgW95RmRfPhYe8fmFBHxZYq6OG7Bt7vJyQNbVEja0qnkbP6UOtcMoM61t5cK+qPxzRjc+XwHJxUR8W2Kujjqky37PUe5FxWSuvgFDv34GXXa3UH0NQNKrVs/shMxUaHHeRQREQFFXRx05cTlJGXlYwvzSV00hUM/f0l0+3uoc2WfUut0HncRkbJR1MUR3oPiCvJJWTiZw9u+pm78/dS+vFepdQq6iEjZKepS5UrOEleU7yZl/iRyd6ynXueHqHXpjaXWrR+pI9xFRMpDUZcqdSTouaTMHU/uzk3U6/oItS4pfd72fwxorffQRUTKSVGXKuMNet5hkueMxb1nCzE3DSaqVXypdTooTkTk1CjqUiW8QXfnkDz7Gdz7fqJ+9yeIbHl9qXV6D11E5NQp6lLp2o77CIDC3GySZ40iL+kX6vd6msjz/1BqnYIuInJ6FHWpVE2HLsEChYcySZ41mrzUncTeMpyIZleWWqegi4icPkVdKk3JLvfCnAySZo6kIH0fcbeOIvycNqXWKegiIhVDUZdKURL0guwDJCeMoCAzmdjeowk/u3WpdQq6iEjFUdSlwnmDfjCVpIThFGYfIK7vM4Q1vqjUOgVdRKRiKepSobxBz0z2BP3QQeL6jSes0QWl1inoIiIVT1GXClMS9PyM/STNGIZ1H8I1YAKhDZqXWqegi4hUDkVdKoQ36Af2kjRjOLYgD9fASYS4zi21TkEXEak8irqctpKg56XuIjlhBNYW4bptMiGxZ5dap6CLiFSuAKcHkOrNG/TkHSTNGAaAa6CCLiLiBG2pyykrCbp7/zaSZ47CBIXgGjiJ4HoNS61T0EVEqoa21OWUeIO+7yeSE0ZgQsJx3f6cgi4i4iBtqUu5lQQ9d8+PJM8eTWBEHVwDJhFUJ67UOgVdRKRqaUtdysUb9F3fkzxrFIFR9XANfFZBFxHxAdpSlzIrCfrhXzeQMnc8QXVcxA2YQFBUvVLrFHQREWco6lIm3qBvX0fy/IkE12uIq/8EAiOjS61T0EVEnKOoy0mVBP3Qf9eSsnAyIfWbENd/PIHhtUutU9BFRJylqMsJlQQ956cvSF30PCGuc4nrN47AsKhS6xR0ERHnKepyXN6gb1lF6uIXCD3zfOL6jiUgNKLUOgVdRMQ3KOpyTCVBz/7+E9KWTiW0UUvi+owhICS81DoFXUTEdyjqUsqLH/3I1JW/AJC18SMOLHuFsCaXENt7JAHBYaXWKugiIr5FURev84YtId96vs76dgkHPn6NsHPaEHfLCExQSKm1CrqIiO9R1AXwbKGXBP3gNwtJ//TfhDe7ktheQzFBwaXWKugiIr5JURcA7y73zDVzyFj1f0Q0v4b6PZ/CBCroIiLVhU4TK96D4jK+mOEJ+gXXU7/X06WC3qB2iIIuIuLjtKVeg21LyqLTi59hrSXz8/fI/Gomka06EtPtEUxAoHfdisHX0cxVy8FJRUSkLBT1GurGFxPZkpSDtZaMxLc4+PU8oi7uTL2uf8GYIztwLm9cW0EXEakmFPUaqGR3u7WW9E/+Tdb6RURdehP1bniwVNABZj/UzokRRUTkFCjqNcyRoBdxYPlrZG9YSq22vagbfx/GmFJr9R66iEj1ogPlahBv0IsKSVv6MtkbllL7qj7/E/RaYUZBFxGphrSlXkPc/PIqoDjoH75Ezg8rqXPNQOpce1upoD/QrinDb2rp1JgiInIaFPUa4KlZ37Fhbza2sIDUxS9waOvnRLe7kzrX9C+1bv3ITsREhTo0pYiInC5F3c+dM3QJRYAtzCdl0fMc/vkrotv/kTpX3lpqnXa3i4hUf4q6H/O+h16QR8qCyRze/g11Oz5A7bY9S61T0EVE/IOi7qdKgl6U7yZl/kRyd3xLvS4PU6t1t1LrVgy+zonxRESkEijqfsgb9LxcUuaNI3fn98R0e4SoizuXWnfX1Y11YhkRET+iqPsZb9Ddh0ieMxb33h+J6f44URd2KLVOp34VEfE/irofORL0HJJnjcH928/U7/EkkReU3sWu99BFRPyTou4nSoJemJtN8sxR5CXvIPbmoUQ0v6bUOgVdRMR/Kep+wBv0Q5kkzRxFftouYm8ZTkSzK0qtU9BFRPybo6eJNcYEGmO+M8YsdnKO6uz7vZkAFOakkzRjOAUH9hB36ygFXUSkBnL63O+PAj86PEO1VbKFXpCVxv73h1GQuZ/YPmMIP6dNqXUKuohIzeBY1I0xjYD/b+/eo6Os7zyOf77kAiSEezK20AUtXtq16ird46VHYatHW1AXLQgR5YhrZXVNDz05cglUoIKpFuqu1l2Fiu4aCUhBCrKsSqVbz2oXFBTa6lKvoJIElEuAQC7f/SOTkYdbEk3yzMzzfp3DySTzm8w3D+fw5vfMZGaYpAVhzZDKmoL+2a4qVSyarPrqXSoYOVNdB5wbWEfQASA6wnxM/UFJd0vi96paKbFD31Ohf3l8mur371Ns1Cx17veNwDqCDgDRYu7e8XdqNlzS9939DjMbIqnY3YcfZ90PJf1QkmKx2AXl5eUdO2gSanoMvariEz085yc6XHNA/zhppv7qtEGBdd/q1yOM8bG/z5MAAA0RSURBVCKjurpa3bp1C3uMyOG4h4PjHo6hQ4e+5u6DW3ObsKJ+n6SbJNVJ6iKpu6Rl7j72RLcZPHiwb9iwoYMmTE5NO/TaXdtVUT5VXl+n4mkztHjvGYF17NDb37p16zRkyJCwx4gcjns4OO7hMLNWRz2Ux9TdfYq793f3gZJGS/rtyYKOz4N+uOoD7Vg0Wd7QoNiYOeo/4LTAOoIOANEV9rPf0QKJoFe+q4pFU2TWSacU3qfs/IGBdQQdAKIt9Befcfd1ktaFPEbSagr6oR1/UeXi6bKszoqNnq2s3v0C6wg6AICdehJLBP3jt1VRXiLL7qpYYSlBBwAcV+g7dRxfU9Brtv9Rlc/MUEZOT8XGzFZm94LAOp7lDgBowk49CSWC/uGbqlxyjzK69VGs8L5jgs4OHQBwJHbqSaYp6Aff26iqZfcqs0dMsdGzldGtV2AdQQcAHI2oJ5FE0N9Zr8rlc5TVu19j0HOCp9gJOgDgeIh6kmgK+oGtr6rq2VJl5w9QwQ0/VUbX7oF1BB0AcCJEPQk0BX3/Wy9r58oHlB0bpNiomerUJfiyjAQdAHAyRD1kiaD/aZ12rpqnzv3OUsEPZqhT55zAOoIOAGgOz34PybOvb0sEvXrzWu1cOVedv3a2CkbOJOgAgC+EnXoIzpj8nA7HL+/btEaf/tcv1WXgecq/rkSdsroE1hJ0AEBLEfUO1rQ7l6R9r6/Spy/8m7qeNlj5I6bKMrMDawk6AKA1iHoHuuup9YnLe/93uT576VfqevqFyr9mkiwzK7CWoAMAWouod6CVWyolSXtefUa7f/ekcs78jvpeXSzLCP41EHQAwBdB1DvIwMnPyd2153/KteflMuV88zL1HfZjWaeMwDqCDgD4ooh6Oxv5yO+1/sO9cnft/v1/aO8rS5R79uXq8727AkGfcuUZun3o6SFOCgBIdUS9HTU9Kc7dtfulx7V3/XJ1O/cq9b7yDpkFf5uQoAMAviyi3k6ODPpnax/TvtdWKu/84ep1+e0ys8BaTrkDANoCUW8Hnwe9QZ8+/4iqN61R92+PUM+h4wk6AKDdEPU2lgh6Q712rXlI+ze/qO4XjlTPS28m6ACAdsXLxLahQNCf+4X2b35RPS4pPCboPbt2IugAgDbHTr2NJIJeX6edK3+uA2+/rJ6X3qweF40KrHtx4qUaFMsLY0QAQJoj6m3g86DXqmrFz3Rw66vqNfRWdf/bEYF17M4BAO2JqH9JiaDXHVbVs/fp4Dvr1evy29X9gqsD6wg6AKC9EfUvoSnoDbU1qlo2WzXvb1TvK/9JeeddFVg3ZFDvMMYDAEQMUf+CEkE/XKPKX8/SoQ83q8/3fqRu51xxzNon/uGijh4PABBBPPv9C0gE/dABVT7zEx3atkV9hv/4mKAPGdSb0+4AgA7DTr2VEkGvqVbFM/fo8I6/qO81dyv3rO8E1hFzAEBHI+qt0BT0+oP7VLlkug5Xvq/8aycr54zg6XWCDgAIA1FvoUTQD+xRxeJpqt21XfnXlSjn698OrCPoAICwEPUWSAS9+jNVLC5R3e4dKrh+urqeen5gHUEHAISJqDejKeh1+3aporxE9fuqVPCDGeoy4JzAOoIOAAgbUT+JRND3VqmifKrq9+9WwahZ6tL/rwPrCDoAIBkQ9RNoCnrt7h2qKC9RQ021YqN+qs79zgqsI+gAgGRB1I8jEfTPPlbFohJ57UHFRs9W51MGBdYRdABAMiHqR0kEfdc2VZSXyOvrFBszR9kFpwXWEXQAQLIh6kdoCvrhqvdVUT5NMik25j5l5w8IrCPoAIBkRNTjEkGvfFcV5dNkGZmKjZ6jrD79A+sIOgAgWfHa7/o86Ic+2aqKRVNlmZ0VKywl6ACAlBL5qCeC/tFbqigvkXXO1Sk3liqr11cD6wg6ACDZRfr0e1PQa7ZtUeXSmcrI7anY6DnK7J4fWEfQAQCpILI79UTQP3hTlc/co4xufRQbU0rQAQApK9I79YPvva6qZfcqs+cpio2erYzcXoHrCToAIJVENuoH3lmvquWzldXna4rdcK8ycnoErifoAIBUE8moL1++XLtXzFF2/qkqGDVLGV3zAtcTdABAKorcY+pLlizRyJEjdcEFF6jyrfUEHQCQNiK1Uy8rK9PNN9+siy++WKtXr1ZeXh4RBwCkjcjs1BcuXKibbrpJl112mdasWaO8vLzmbwQAQAqJRNQfffRRjR8/XldccYVWrVql3NzcsEcCAKDNpX3UH3roIU2YMEHDhg3TihUrlJOTE/ZIAAC0i7SO+ty5c1VUVKQRI0Zo2bJl6tKlS9gjAQDQbtI26nPmzFFxcbFGjRqlxYsXKzs7O+yRAABoV2kXdXfXjBkzVFJSorFjx6qsrExZWVlhjwUAQLtLq19pc3dNnTpVpaWluuWWWzR//nxlZGSEPRYAAB0ibXbq7q7i4mKVlpZqwoQJWrBgAUEHAERKWkS9oaFBRUVFmjdvnoqKivTII4+oU6e0+NEAAGixlD/93tDQoAkTJmj+/PkqLi7W/fffLzMLeywAADpcSm9n6+vrNX78eM2fP18lJSUEHQAQaSm7U6+rq9O4ceP09NNPa9asWZo+fXrYIwEAEKqUjHptba0KCwu1dOlSlZaWatKkSWGPBABA6FIu6ocOHdINN9ygFStWaN68eZo4cWLYIwEAkBRSKuo1NTW6/vrrtXr1aj388MO68847wx4JAICkkTJRb2ho0NVXX621a9fqscce02233Rb2SAAAJJWUifrWrVv1xhtvaOHChRo3blzY4wAAkHRSJurV1dUqKytTYWFh2KMAAJCUzN3DnqFFzKxK0gdhz5GE+kraGfYQEcRxDwfHPRwc93Cc6e55rblByuzU3T0/7BmSkZltcPfBYc8RNRz3cHDcw8FxD4eZbWjtbVL6FeUAAMDniDoAAGmCqKe+x8IeIKI47uHguIeD4x6OVh/3lHmiHAAAODl26gAApAminuLMLMPMNprZqrBniQoz62lmS83sLTP7s5ldFPZMUWBmE83sj2a2xcwWmVmXsGdKR2b2uJlVmtmWI77W28xeMLOt8Y+9wpwxHZ3guD8Q/3fmTTNbbmY9m/s+RD31/UjSn8MeImL+WdIadz9L0rni+Lc7M+snqUjSYHc/W1KGpNHhTpW2npB01VFfmyxprbufLmlt/HO0rSd07HF/QdLZ7n6OpP+TNKW5b0LUU5iZ9Zc0TNKCsGeJCjPrLulSSb+SJHc/7O67w50qMjIldTWzTEk5kj4OeZ605O7/LenTo758raQn45eflPT3HTpUBBzvuLv78+5eF//0VUn9m/s+RD21PSjpbkkNYQ8SIadJqpK0MP6wxwIzyw17qHTn7h9J+rmkDyV9ImmPuz8f7lSREnP3TyQp/rEg5HmiaLyk/2xuEVFPUWY2XFKlu78W9iwRkynpfEn/6u5/I2m/OBXZ7uKP4V4r6VRJX5WUa2Zjw50K6BhmViKpTlJZc2uJeuq6RNI1Zva+pHJJf2dmT4U7UiRsl7Td3f8Q/3ypGiOP9nW5pPfcvcrdayUtk3RxyDNFSYWZfUWS4h8rQ54nMsxsnKThkm70FvwOOlFPUe4+xd37u/tANT5h6Lfuzs6lnbn7DknbzOzM+Je+K+lPIY4UFR9KutDMcszM1HjceYJix/mNpKb3vB4naUWIs0SGmV0laZKka9z9QEtukzJv6AIkkbsklZlZtqR3Jd0S8jxpz93/YGZLJb2uxtOQG8WrnLULM1skaYikvma2XdI9kkolLTGzW9X4H6yR4U2Ynk5w3KdI6izphcb/y+pVd59w0u/DK8oBAJAeOP0OAECaIOoAAKQJog4AQJog6gAApAmiDgBAmiDqAACkCaIORICZuZnNPeLzYjObEb88w8w+MrNNR/zpGX+hlzIz2xx/u9OXzazbSe6jPn7bLWa2siVvEwmgbRF1IBoOSbrOzPqe4PpfuPt5R/zZrca39a1w92/F3+70Vkm1J7mPg/Hbnq3Gd5u6s01/AgDNIupANNSp8RXYJrbiNl+R9FHTJ+7+trsfauFtX5HUrxX3BaANEHUgOn4p6UYz63Gc6yYecer9pfjXHpc0ycxeMbN7zez0ltyJmWWo8bXZf9M2YwNoKaIORIS775X075KKjnP1kaffh8bXb1Lj+8c/IKm3pPVm9o2T3EVXM9skaVd8/Qtt+gMAaBZRB6LlQTU+Np7bksXuXu3uy9z9DklPSfr+SZYfdPfzJA2QlC0eUwc6HFEHIsTdP5W0RI1hPykzu8TMesUvZ0v6pqQPWnAfe9R4NqDYzLK+3MQAWoOoA9EzV9LRz4KfeNSvtA2U9HVJvzOzzWp8q9MNkn7dkjtw942S3pA0us2mBtAs3noVAIA0wU4dAIA0kRn2AABSh5n1kbT2OFd91913dfQ8AII4/Q4AQJrg9DsAAGmCqAMAkCaIOgAAaYKoAwCQJog6AABp4v8B7qBLR9bFTE8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x126774fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "c_df.plot.scatter(x='NES_R', y='NES_python', ax=ax, grid=True)\n",
    "plt.xlim([2.5, 12])\n",
    "plt.ylim([2.5, 12])\n",
    "plt.plot([2.5, 12], [2.5, 12], 'k-')\n",
    "plt.title('NES R versus python')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Conclusion:__ AUC differences are minimal and can be explained by the rounding to two digits that is being done in the R version of the pipeline."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison of number of regulomes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create regulomes for python pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyscenic.algo import df2regulomes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "py_df = pd.read_csv(os.path.join(RESOURCES_FOLDER, \"regulomes_zeisel_2015.csv\"),\n",
    "                 index_col=[0,1], header=[0,1], skipinitialspace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "py_df[('Enrichment', 'TargetGenes')] = list(map(eval, py_df[('Enrichment', 'TargetGenes')]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "regulomes = df2regulomes(py_df, \"MGI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "391"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(regulomes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "py_name2targets = {r.transcription_factor: set(r.genes) for r in regulomes}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "391"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(py_name2targets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create regulomes for R pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_incidences = pd.read_csv(os.path.join(RESOURCES_FOLDER, \"rscenic/2.6_regulons_asIncidMat.txt\"), index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(554, 11336)"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_incidences.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib_venn import venn2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_extended = set(map(lambda n: n.split('_')[0], filter(lambda n: n.endswith('_extended'), r_incidences.index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_not_extended = set(filter(lambda n: not n.endswith('_extended'), r_incidences.index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Number of regulomes')"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x126d36518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from operator import attrgetter\n",
    "fig, ax = plt.subplots(figsize=(6,6))\n",
    "r_names = r_extended.union(r_not_extended)\n",
    "py_names = set(map(attrgetter('name'), regulomes))\n",
    "n_intersect = len(r_names.intersection(py_names))\n",
    "venn2(subsets = (len(r_names)-n_intersect, len(py_names)-n_intersect, n_intersect), set_labels=('R', 'Python'), ax=ax)\n",
    "plt.title('Number of regulomes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Conclusion:__ The difference in number of regulomes can be explained by the fact we do not used the exact same version of motif2tf annotations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison of regulomes constituents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "r_name2targets = {tf.split('_')[0]:set(row.index[list(map(bool, row.values))].values)\n",
    "                  for tf, (_, row) in zip(r_incidences.index, r_incidences.iterrows()) if not tf.endswith(\"_extended\")}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "R version makes a difference between extended and not extended target genes (from derived motifs). In this notebook the regulomes derived from the dataframe take into account both target genes. We take this into account when comparing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cytoolz import merge_with\n",
    "\n",
    "def union(args):\n",
    "    if len(args) == 1:\n",
    "        return args[0]\n",
    "    return args[0].union(args[1])\n",
    "\n",
    "tmp_name2targets = {tf.split('_')[0]:set(row.index[list(map(bool, row.values))].values)\n",
    "                  for tf, (_, row) in zip(r_incidences.index, r_incidences.iterrows()) if tf.endswith(\"_extended\")}\n",
    "r_name2targets_extended = merge_with(union, r_name2targets, tmp_name2targets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "391"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(r_name2targets_extended)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "318"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(r_name2targets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare actual content of the intersecting regulomes via Jaccard Index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Distribution of Jaccard Index')"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1245c4b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names = set(r_name2targets_extended.keys()).intersection(set(py_name2targets))\n",
    "n = len(names)\n",
    "def jaccard(s1, s2):\n",
    "    return float(len(s1.intersection(s2)))/len(s1.union(s2))\n",
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "ji = pd.DataFrame(data={'JI': list(jaccard(r_name2targets_extended[name], py_name2targets[name]) for name in names)},\n",
    "                  index=names)\n",
    "ji.hist(bins=25, ax=ax)\n",
    "plt.xlim([0, 1.0])\n",
    "plt.title('Distribution of Jaccard Index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "#py_df.columns = py_df.columns.droplevel(0)\n",
    "py_df = py_df.reset_index()\n",
    "DB_MAP = {\n",
    "    'mm9-500bp-upstream-7species.mc8nr': '500bp',\n",
    "    'mm9-tss-centered-10kb-7species.mc8nr': '10kbp'\n",
    "}\n",
    "def getdb(s):\n",
    "    for elem in eval(s):\n",
    "        if elem in DB_MAP:\n",
    "            return DB_MAP[elem]\n",
    "    raise ValueError\n",
    "def getmodule(s):\n",
    "    for elem in eval(s):\n",
    "        if elem not in DB_MAP:\n",
    "            return elem\n",
    "    raise ValueError\n",
    "py_df['DbId'] = py_df['Context'].apply(getdb)\n",
    "py_df['ModuleType'] = py_df['Context'].apply(getmodule)\n",
    "py_df = py_df[COLUMNS]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>JI</th>\n",
       "      <th>NES_python</th>\n",
       "      <th>NES_R</th>\n",
       "      <th>MotifID_python</th>\n",
       "      <th>MotifID_R</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mynn</th>\n",
       "      <td>0.142857</td>\n",
       "      <td>3.324769</td>\n",
       "      <td>3.320000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grhl1</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>3.458146</td>\n",
       "      <td>3.460000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creb3</th>\n",
       "      <td>0.258970</td>\n",
       "      <td>3.659283</td>\n",
       "      <td>3.659268</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hinfp</th>\n",
       "      <td>0.333333</td>\n",
       "      <td>3.066720</td>\n",
       "      <td>3.070000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Klf3</th>\n",
       "      <td>0.461538</td>\n",
       "      <td>3.769962</td>\n",
       "      <td>3.769000</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             JI  NES_python     NES_R  MotifID_python  MotifID_R\n",
       "Mynn   0.142857    3.324769  3.320000               1          1\n",
       "Grhl1  0.200000    3.458146  3.460000               2          2\n",
       "Creb3  0.258970    3.659283  3.659268              41         41\n",
       "Hinfp  0.333333    3.066720  3.070000               1          1\n",
       "Klf3   0.461538    3.769962  3.769000              10         10"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c_ji = ji.merge(c_df[['TF', 'NES_python']].groupby(by='TF').mean(), \n",
    "         left_index=True, right_index=True).merge(c_df[['TF', 'NES_R']].groupby(by='TF').mean(),\n",
    "         left_index=True, right_index=True).merge(py_df[['TF', 'MotifID']].groupby(by='TF').count(),\n",
    "         left_index=True, right_index=True).merge(r_df[['TF', 'MotifID']].groupby(by='TF').count(), suffixes=['_python', '_R'],\n",
    "         left_index=True, right_index=True).sort_values(by='JI')\n",
    "c_ji.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_ji['motif_diff'] = (c_ji['MotifID_python'] - c_ji['MotifID_R']).abs()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Is there a correlation between JI and NES score?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x135b0c1d0>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1245cdb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c_ji.plot.scatter(x='JI', y='NES_python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x13416bcf8>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x128be0a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c_ji.plot.scatter(x='JI', y='motif_diff')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DbId</th>\n",
       "      <th>ModuleType</th>\n",
       "      <th>MotifID</th>\n",
       "      <th>TF</th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1728</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50perTarget</td>\n",
       "      <td>transfac_pro__M05421</td>\n",
       "      <td>Mynn</td>\n",
       "      <td>0.030334</td>\n",
       "      <td>3.324769</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       DbId      ModuleType               MotifID    TF       AUC       NES\n",
       "1728  500bp  top50perTarget  transfac_pro__M05421  Mynn  0.030334  3.324769"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py_df[py_df['TF'] == 'Mynn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DbId</th>\n",
       "      <th>ModuleType</th>\n",
       "      <th>MotifID</th>\n",
       "      <th>TF</th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3000</th>\n",
       "      <td>500bp</td>\n",
       "      <td>top50perTarget</td>\n",
       "      <td>transfac_pro__M05421</td>\n",
       "      <td>Mynn</td>\n",
       "      <td>0.0303</td>\n",
       "      <td>3.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       DbId      ModuleType               MotifID    TF     AUC   NES\n",
       "3000  500bp  top50perTarget  transfac_pro__M05421  Mynn  0.0303  3.32"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_df[r_df['TF'] == 'Mynn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Adam1a', 'Hsd17b11'}"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py_name2targets['Mynn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Adam1a',\n",
       " 'Ado',\n",
       " 'Alkbh3',\n",
       " 'Gins3',\n",
       " 'Hist1h2bm',\n",
       " 'Hist1h2bn',\n",
       " 'Hsd17b11',\n",
       " 'Mcm4',\n",
       " 'Myh3',\n",
       " 'Rab5c',\n",
       " 'Smarcb1',\n",
       " 'Trp53i11',\n",
       " 'Ube2h',\n",
       " 'Usp49'}"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_name2targets['Mynn']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Conclusion__:\n",
    "The difference in the actual target genes in the regulomes can be explained by the fact that the R implementation uses an approx method to calculate the avg + 2 std RCC.\n",
    "Only a few gene signatures are different because of fifferent enriched motids are discovered."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--------\n",
    "\n",
    "## Phase III: Regulome enrichment\n",
    "\n",
    "Assess the impact these marginal differences of the consituents of regulomes has on the latest phase in the SCENIC pipeline, i.e. AUCell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyscenic.aucell import create_rankings, enrichment\n",
    "from pyscenic.genesig import Regulome\n",
    "import seaborn as sns\n",
    "from sklearn.metrics.pairwise import pairwise_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_mtx = pd.read_csv(os.path.join(RESOURCES_FOLDER, 'GSE60361_C1-3005-Expression.txt'), sep='\\t', header=0, index_col=0)\n",
    "rnk_mtx = create_rankings(ex_mtx)\n",
    "py_auc_heatmap = pd.concat([enrichment(rnk_mtx.T, regulome) for regulome in regulomes]).unstack('Regulome')\n",
    "r_regulomes = [Regulome(name, \"MGI\", targets, name) for name, targets in r_name2targets_extended.items()]\n",
    "r_auc_heatmap = pd.concat([enrichment(rnk_mtx.T, regulome) for regulome in r_regulomes]).unstack('Regulome')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x134696d30>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1253d3e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16,8))\n",
    "sns.heatmap(py_auc_heatmap, ax=ax1)\n",
    "sns.heatmap(r_auc_heatmap, ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "common_names = py_names.intersection(r_names)\n",
    "dists = pairwise_distances(r_auc_heatmap.iloc[:,r_auc_heatmap.columns.droplevel(0).isin(common_names)],\n",
    "                   py_auc_heatmap.iloc[:,py_auc_heatmap.columns.droplevel(0).isin(common_names)], metric='cosine').diagonal()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x133d35550>]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x133d355f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "pd.DataFrame(data={'dist': dists}, index=ex_mtx.columns).hist(bins=50, ax=ax)\n",
    "plt.title('Distance between vector representation of 3,005 cells from Zeisel et al.')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1000.0])\n",
    "plt.xlabel('Cosine distance')\n",
    "plt.ylabel('# of cells')\n",
    "plt.plot([dists.max(), dists.max()], [0, 1000], 'k:')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Conclusion:__ The differences are minimal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6.2 (pyscenic_dev)",
   "language": "python",
   "name": "pyscenic_dev"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
